ASRock X670E Steel Legend
Geekbench AI Score
4534
Single Precision Score
1107
Half Precision Score
5802
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ldilov |
| Upload Date | August 15 2024 07:07 PM |
| Views | 9 |
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% |
1915
356.2 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.3 IPS |
|
|
Image Classification (Q)
|
99% |
4941
921.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2757
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
3630
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13124
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8906
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
44892
52.6 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.7 IPS |
|
|
Object Detection (HP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (Q)
|
88% |
2298
184.2 IPS |
|
|
Face Detection (SP)
|
100% |
4233
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (Q)
|
97% |
5874
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9255
71.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1300
10.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
14064
113.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30168
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26491
34.1 IPS |
|
|
Style Transfer (Q)
|
98% |
43741
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3152
116.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2833
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4547
168.4 IPS |
|
|
Text Classification (SP)
|
100% |
1682
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
453
606.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
60% |
3144
70.1 IPS |
