ALASKA A_M_I_
Geekbench AI Score
1060
Single Precision Score
1571
Half Precision Score
2255
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | urostor |
| Upload Date | December 15 2024 10:58 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
648
120.5 IPS |
|
|
Image Classification (HP)
|
100% |
1051
195.4 IPS |
|
|
Image Classification (Q)
|
99% |
1419
264.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1926
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1596
1.86 IPS |
|
|
Pose Estimation (HP)
|
99% |
1343
1.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
4602
5.39 IPS |
|
|
Object Detection (SP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (HP)
|
99% |
1001
79.4 IPS |
|
|
Object Detection (Q)
|
90% |
1552
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
2133
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
3476
41.3 IPS |
|
|
Face Detection (Q)
|
100% |
4049
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2006
15.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3512
27.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
4515
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4506
5.79 IPS |
|
|
Style Transfer (HP)
|
100% |
6834
8.79 IPS |
|
|
Style Transfer (Q)
|
98% |
11290
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
800
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2314
85.7 IPS |
|
|
Text Classification (SP)
|
71% |
427
617.7 IPS |
|
|
Text Classification (HP)
|
71% |
521
753.8 IPS |
|
|
Text Classification (Q)
|
92% |
560
752.0 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.84 IPS |
|
|
Machine Translation (HP)
|
98% |
653
11.3 IPS |
|
|
Machine Translation (Q)
|
100% |
653
11.3 IPS |
