ASRock X670E Steel Legend
Geekbench AI Score
4682
Single Precision Score
1103
Half Precision Score
5821
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ldilov |
| Upload Date | August 15 2024 07:19 PM |
| Views | 7 |
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% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (Q)
|
99% |
4863
907.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2717
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
3622
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14464
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9644
11.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
46342
54.3 IPS |
|
|
Object Detection (SP)
|
100% |
2693
213.6 IPS |
|
|
Object Detection (HP)
|
100% |
258
20.5 IPS |
|
|
Object Detection (Q)
|
88% |
2481
198.8 IPS |
|
|
Face Detection (SP)
|
100% |
4519
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (Q)
|
97% |
6031
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10986
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1247
9.60 IPS |
|
|
Depth Estimation (Q)
|
76% |
13426
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31258
40.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27171
34.9 IPS |
|
|
Style Transfer (Q)
|
98% |
42004
54.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3117
115.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2636
97.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4247
157.3 IPS |
|
|
Text Classification (SP)
|
100% |
1729
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
447
598.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2866
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3417
76.2 IPS |
