To be filled by O.E.M. N100
Geekbench AI Score
680
Single Precision Score
719
Half Precision Score
472
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 04:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | To be filled by O.E.M. N100 |
| Motherboard | To be filled by O.E.M. To be filled by O.E.M. |
| Power Plan | Rovnovha |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
303
56.3 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.1 IPS |
|
|
Image Classification (Q)
|
100% |
249
46.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
326
5.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
1834
2.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2149
2.51 IPS |
|
|
Pose Estimation (Q)
|
96% |
1358
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
326
25.9 IPS |
|
|
Object Detection (HP)
|
98% |
295
23.5 IPS |
|
|
Object Detection (Q)
|
86% |
280
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
669
7.95 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.50 IPS |
|
|
Face Detection (Q)
|
97% |
515
6.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
1253
9.66 IPS |
|
|
Depth Estimation (HP)
|
98% |
1348
10.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
933
7.47 IPS |
|
|
Style Transfer (SP)
|
100% |
3882
4.99 IPS |
|
|
Style Transfer (HP)
|
100% |
5365
6.90 IPS |
|
|
Style Transfer (Q)
|
98% |
2994
3.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
679
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
959
35.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
380
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
324
431.9 IPS |
|
|
Text Classification (HP)
|
100% |
209
278.8 IPS |
|
|
Text Classification (Q)
|
97% |
172
230.3 IPS |
|
|
Machine Translation (SP)
|
100% |
402
6.92 IPS |
|
|
Machine Translation (HP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (Q)
|
70% |
193
3.62 IPS |
