ASRock X670E Steel Legend
Geekbench AI Score
4372
Single Precision Score
1103
Half Precision Score
5816
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ldilov |
| Upload Date | August 16 2024 03:14 AM |
| Views | 10 |
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% |
2081
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
99% |
5196
969.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
3745
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15307
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10135
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
46006
53.9 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (Q)
|
88% |
2430
194.8 IPS |
|
|
Face Detection (SP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
388
4.61 IPS |
|
|
Face Detection (Q)
|
97% |
6056
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7485
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1252
9.65 IPS |
|
|
Depth Estimation (Q)
|
76% |
11826
95.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26414
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25739
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42714
55.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2845
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2516
92.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4386
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
454
607.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2735
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3346
74.6 IPS |
