Blade Shadow Computer
Geekbench AI Score
1320
Single Precision Score
711
Half Precision Score
1805
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 05:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7543P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Blade Shadow Computer |
| Motherboard | Blade ShadowM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7543P |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 28.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
729
135.6 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.0 IPS |
|
|
Image Classification (Q)
|
96% |
1127
210.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (Q)
|
97% |
1275
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1890
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1621
1.89 IPS |
|
|
Pose Estimation (Q)
|
87% |
3866
4.57 IPS |
|
|
Object Detection (SP)
|
100% |
771
61.1 IPS |
|
|
Object Detection (HP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (Q)
|
86% |
906
72.8 IPS |
|
|
Face Detection (SP)
|
100% |
1779
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
2379
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2228
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1035
7.97 IPS |
|
|
Depth Estimation (Q)
|
77% |
2748
22.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4911
6.31 IPS |
|
|
Style Transfer (HP)
|
100% |
4057
5.22 IPS |
|
|
Style Transfer (Q)
|
87% |
7762
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
919
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1416
52.5 IPS |
|
|
Text Classification (SP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
399
532.3 IPS |
|
|
Text Classification (Q)
|
97% |
761
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (Q)
|
60% |
1340
29.9 IPS |
