Game Ready 572.16 Overclocking Auto NVIDIA APP OFF ASRock X670E Taichi Carrara
Geekbench AI Score
37953
Single Precision Score
51530
Half Precision Score
28868
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | usaurioRAWR |
| Upload Date | February 04 2025 06:37 PM |
| Views | 8 |
| 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 OFF; GPU: + 0 MHz | VRAM: + 0MHz |
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% |
13614
2.53 KIPS |
|
|
Image Classification (HP)
|
99% |
17872
3.33 KIPS |
|
|
Image Classification (Q)
|
100% |
11739
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23050
373.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28640
464.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21449
348.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
314812
367.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
529093
617.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
272143
318.9 IPS |
|
|
Object Detection (SP)
|
100% |
18916
1.50 KIPS |
|
|
Object Detection (HP)
|
100% |
24317
1.93 KIPS |
|
|
Object Detection (Q)
|
86% |
15929
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
53620
637.1 IPS |
|
|
Face Detection (HP)
|
100% |
66661
792.1 IPS |
|
|
Face Detection (Q)
|
97% |
45131
538.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
99214
764.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
158597
1.22 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71949
575.4 IPS |
|
|
Style Transfer (SP)
|
100% |
568382
730.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1091344
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
481344
620.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59526
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79145
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44502
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
4147
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2087
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5398
93.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5294
91.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2537
47.6 IPS |
