Default string Default string
Geekbench AI Score
674
Single Precision Score
380
Half Precision Score
1225
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deslok |
| Upload Date | February 07 2025 11:09 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| 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% |
487
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.6 IPS |
|
|
Image Classification (Q)
|
99% |
901
168.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
814
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
981
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
686
0.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
2107
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
419
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
86% |
867
69.7 IPS |
|
|
Face Detection (SP)
|
100% |
1006
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
453
5.38 IPS |
|
|
Face Detection (Q)
|
97% |
1785
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1101
8.48 IPS |
|
|
Depth Estimation (HP)
|
99% |
539
4.15 IPS |
|
|
Depth Estimation (Q)
|
78% |
2127
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2107
2.71 IPS |
|
|
Style Transfer (HP)
|
100% |
1652
2.12 IPS |
|
|
Style Transfer (Q)
|
98% |
3521
4.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
422
15.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
831
30.8 IPS |
|
|
Text Classification (SP)
|
100% |
423
565.2 IPS |
|
|
Text Classification (HP)
|
100% |
267
355.8 IPS |
|
|
Text Classification (Q)
|
97% |
628
840.8 IPS |
|
|
Machine Translation (SP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (Q)
|
65% |
820
16.5 IPS |
