ASRock X670E Steel Legend
Geekbench AI Score
4591
Single Precision Score
1121
Half Precision Score
5743
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ldilov |
| Upload Date | August 30 2024 08:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Steel Legend |
| Motherboard | ASRock X670E Steel Legend |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (Q)
|
99% |
4798
894.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2538
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
3642
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13032
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
44740
52.4 IPS |
|
|
Object Detection (SP)
|
100% |
2610
207.0 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
88% |
2293
183.8 IPS |
|
|
Face Detection (SP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (Q)
|
97% |
6375
76.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9811
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1310
10.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
13218
106.5 IPS |
|
|
Style Transfer (SP)
|
100% |
31311
40.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26132
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
43989
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3238
119.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4403
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
1790
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
460
616.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2904
64.8 IPS |
