ALASKA A_M_I_
Geekbench AI Score
697
Single Precision Score
734
Half Precision Score
490
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | urostor |
| Upload Date | December 06 2024 11:33 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ALASKA A_M_I_ |
| Motherboard | |
| Power Plan | Balanced |
| 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% |
314
58.4 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (Q)
|
100% |
266
49.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
337
5.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
1885
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2187
2.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
1384
1.62 IPS |
|
|
Object Detection (SP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (HP)
|
98% |
306
24.3 IPS |
|
|
Object Detection (Q)
|
86% |
291
23.4 IPS |
|
|
Face Detection (SP)
|
100% |
725
8.61 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (Q)
|
97% |
547
6.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
1274
9.82 IPS |
|
|
Depth Estimation (HP)
|
98% |
1398
10.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
967
7.75 IPS |
|
|
Style Transfer (SP)
|
100% |
3959
5.09 IPS |
|
|
Style Transfer (HP)
|
100% |
5559
7.15 IPS |
|
|
Style Transfer (Q)
|
98% |
3082
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1017
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
396
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
351
468.1 IPS |
|
|
Text Classification (HP)
|
100% |
221
295.1 IPS |
|
|
Text Classification (Q)
|
97% |
189
253.0 IPS |
|
|
Machine Translation (SP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (Q)
|
70% |
184
3.45 IPS |
