NVIDIA Studio 572.16 Overclocking Auto NVIDIA APP ON ASRock X670E Taichi Carrara
Geekbench AI Score
38500
Single Precision Score
51612
Half Precision Score
29316
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | usaurioRAWR |
| Upload Date | February 04 2025 07:32 PM |
| Views | 4 |
| Notes | BIOS 3.18.AS01[Beta] / AMD chipset driver version 7.01.08.129 / GeForce RTX™ 4090 SUPRIM X 24G / NVIDIA Studio Driver: 572.16 / Overclocking Auto NVIDIA APP ON; GPU: + 144 MHz | VRAM: + 200 MHz |
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% |
13739
2.56 KIPS |
|
|
Image Classification (HP)
|
99% |
17721
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
11846
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23406
379.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
28683
465.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21835
355.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
325488
379.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
535849
625.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
281380
329.7 IPS |
|
|
Object Detection (SP)
|
100% |
19220
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
24357
1.93 KIPS |
|
|
Object Detection (Q)
|
86% |
16103
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
53728
638.4 IPS |
|
|
Face Detection (HP)
|
100% |
66764
793.3 IPS |
|
|
Face Detection (Q)
|
97% |
45188
538.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
101265
780.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
160258
1.23 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73340
586.6 IPS |
|
|
Style Transfer (SP)
|
100% |
586028
753.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1098324
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
497710
641.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60096
2.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78030
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44685
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
4157
5.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2102
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5394
92.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2583
48.4 IPS |
