ASRock X670E Steel Legend
Geekbench AI Score
4633
Single Precision Score
1117
Half Precision Score
5871
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ldilov |
| Upload Date | August 22 2024 04:35 PM |
| Views | 5 |
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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
99% |
4814
898.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
3691
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15944
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10835
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
46750
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
88% |
2442
195.8 IPS |
|
|
Face Detection (SP)
|
100% |
4455
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
391
4.65 IPS |
|
|
Face Detection (Q)
|
97% |
6103
72.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10566
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1291
9.95 IPS |
|
|
Depth Estimation (Q)
|
76% |
14924
120.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30754
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25620
32.9 IPS |
|
|
Style Transfer (Q)
|
98% |
44193
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3086
114.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2638
97.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4244
157.2 IPS |
|
|
Text Classification (SP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
727
970.5 IPS |
|
|
Text Classification (Q)
|
97% |
454
607.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3095
69.0 IPS |
