Game Ready 572.16 Overclocking Auto NVIDIA APP ON ASRock X670E Taichi Carrara
Geekbench AI Score
38987
Single Precision Score
52471
Half Precision Score
28139
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | usaurioRAWR |
| Upload Date | February 04 2025 06:23 PM |
| Views | 16 |
| Notes | BIOS 3.18.AS01[Beta] / AMD chipset driver version 7.01.08.129 / GeForce RTX™ 4090 SUPRIM X 24G / GeForce Game Ready Driver: 572.16 / Overclocking Auto NVIDIA APP ON; GPU: + 152 MHz | VRAM: + 200MHz |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Taichi Carrara |
| Motherboard | ASRock X670E Taichi Carrara |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14037
2.61 KIPS |
|
|
Image Classification (HP)
|
99% |
18196
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11950
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23496
380.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
29031
470.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21920
356.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
329068
384.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
539621
629.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
282161
330.6 IPS |
|
|
Object Detection (SP)
|
100% |
19337
1.53 KIPS |
|
|
Object Detection (HP)
|
100% |
24712
1.96 KIPS |
|
|
Object Detection (Q)
|
86% |
16307
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
54369
646.0 IPS |
|
|
Face Detection (HP)
|
100% |
67671
804.1 IPS |
|
|
Face Detection (Q)
|
97% |
46010
548.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
101672
783.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
162258
1.25 KIPS |
|
|
Depth Estimation (Q)
|
77% |
59435
475.4 IPS |
|
|
Style Transfer (SP)
|
100% |
593526
763.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1113160
1.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
500631
645.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62044
2.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80967
2.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45973
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3495
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4215
5.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2151
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5435
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5384
92.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1908
35.8 IPS |
