AceMagic S1 Default string Default string
Geekbench AI Score
704
Single Precision Score
741
Half Precision Score
479
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MaverickCougar |
| Upload Date | May 24 2025 07:21 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
312
58.0 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.7 IPS |
|
|
Image Classification (Q)
|
100% |
265
49.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
290
4.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
1829
2.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2169
2.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
1360
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (HP)
|
98% |
299
23.8 IPS |
|
|
Object Detection (Q)
|
86% |
293
23.6 IPS |
|
|
Face Detection (SP)
|
100% |
674
8.01 IPS |
|
|
Face Detection (HP)
|
100% |
718
8.54 IPS |
|
|
Face Detection (Q)
|
97% |
488
5.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
1238
9.54 IPS |
|
|
Depth Estimation (HP)
|
98% |
1388
10.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
941
7.54 IPS |
|
|
Style Transfer (SP)
|
100% |
3921
5.04 IPS |
|
|
Style Transfer (HP)
|
100% |
5512
7.09 IPS |
|
|
Style Transfer (Q)
|
98% |
3002
3.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
707
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1003
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
389
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
345
460.5 IPS |
|
|
Text Classification (HP)
|
100% |
222
296.0 IPS |
|
|
Text Classification (Q)
|
97% |
190
254.1 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
70% |
208
3.90 IPS |
