Blade Shadow Computer
Geekbench AI Score
1465
Single Precision Score
565
Half Precision Score
2960
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 01:04 PM |
| Views | 2 |
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 |
| 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% |
1125
209.2 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
99% |
1946
363.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
495
8.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
2729
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2968
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2241
2.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
10419
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
860
68.2 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.2 IPS |
|
|
Object Detection (Q)
|
86% |
1949
156.6 IPS |
|
|
Face Detection (SP)
|
100% |
2473
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
466
5.54 IPS |
|
|
Face Detection (Q)
|
97% |
3414
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3118
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
655
5.05 IPS |
|
|
Depth Estimation (Q)
|
78% |
5412
43.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6360
8.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3987
5.13 IPS |
|
|
Style Transfer (Q)
|
98% |
10793
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2368
87.7 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
314
419.5 IPS |
|
|
Text Classification (Q)
|
97% |
684
916.2 IPS |
|
|
Machine Translation (SP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.24 IPS |
|
|
Machine Translation (Q)
|
65% |
1487
29.9 IPS |
