B450M Steel Legend
Geekbench AI Score
3670
Single Precision Score
1540
Half Precision Score
4609
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Josh345 |
| Upload Date | October 29 2024 06:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | B450M Steel Legend |
| Motherboard | ASRock B450M Steel Legend |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.2 IPS |
|
|
Image Classification (Q)
|
96% |
3662
683.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
800
13.0 IPS |
|
|
Image Segmentation (Q)
|
97% |
3165
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11585
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6905
8.06 IPS |
|
|
Pose Estimation (Q)
|
87% |
21312
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2037
161.6 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (Q)
|
86% |
1861
149.6 IPS |
|
|
Face Detection (SP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
1465
17.4 IPS |
|
|
Face Detection (Q)
|
96% |
4658
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9218
71.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2362
18.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
7792
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22737
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19158
24.6 IPS |
|
|
Style Transfer (Q)
|
87% |
22269
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2466
91.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3297
122.2 IPS |
|
|
Text Classification (SP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
579
772.4 IPS |
|
|
Text Classification (Q)
|
97% |
1291
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2736
61.0 IPS |
