ASRock X670E Steel Legend
Geekbench AI Score
4634
Single Precision Score
1093
Half Precision Score
5452
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ldilov |
| Upload Date | August 15 2024 06:06 PM |
| 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% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
186
34.6 IPS |
|
|
Image Classification (Q)
|
99% |
4692
875.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2762
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
3594
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14959
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10204
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
45464
53.3 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
253
20.0 IPS |
|
|
Object Detection (Q)
|
88% |
2419
193.9 IPS |
|
|
Face Detection (SP)
|
100% |
4438
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
382
4.54 IPS |
|
|
Face Detection (Q)
|
97% |
5573
66.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10884
83.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1258
9.69 IPS |
|
|
Depth Estimation (Q)
|
76% |
8986
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27590
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25480
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
43317
55.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3063
113.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2598
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4373
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
1633
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
710
948.1 IPS |
|
|
Text Classification (Q)
|
97% |
419
561.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3070
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
60% |
3152
70.3 IPS |
