Blade Shadow Computer
Geekbench AI Score
927
Single Precision Score
422
Half Precision Score
1289
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 03:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-3235 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Blade Shadow Computer |
| Motherboard | Blade ShadowM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3235 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 41.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.2 IPS |
|
|
Image Classification (Q)
|
99% |
852
158.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
705
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2058
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1657
1.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
8750
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
536
42.5 IPS |
|
|
Object Detection (HP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (Q)
|
88% |
703
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
1266
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
388
4.61 IPS |
|
|
Face Detection (Q)
|
97% |
1581
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1869
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
550
4.24 IPS |
|
|
Depth Estimation (Q)
|
77% |
2599
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4469
5.75 IPS |
|
|
Style Transfer (HP)
|
100% |
3637
4.68 IPS |
|
|
Style Transfer (Q)
|
98% |
8239
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
780
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
653
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1081
40.0 IPS |
|
|
Text Classification (SP)
|
100% |
532
710.2 IPS |
|
|
Text Classification (HP)
|
100% |
209
279.6 IPS |
|
|
Text Classification (Q)
|
97% |
159
212.6 IPS |
|
|
Machine Translation (SP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (Q)
|
60% |
593
13.2 IPS |
