AK10 PRO
Geekbench AI Score
855
Single Precision Score
445
Half Precision Score
1415
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ttam |
| Upload Date | November 08 2025 04:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AK10 PRO |
| Motherboard | AK10 PRO |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
609
113.2 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.5 IPS |
|
|
Image Classification (Q)
|
99% |
938
174.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
1180
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
912
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
725
0.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
2332
2.73 IPS |
|
|
Object Detection (SP)
|
100% |
574
45.5 IPS |
|
|
Object Detection (HP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
86% |
1043
83.8 IPS |
|
|
Face Detection (SP)
|
100% |
1390
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
555
6.59 IPS |
|
|
Face Detection (Q)
|
97% |
2272
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1493
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
626
4.82 IPS |
|
|
Depth Estimation (Q)
|
78% |
2569
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2615
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
1792
2.30 IPS |
|
|
Style Transfer (Q)
|
98% |
4022
5.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
576
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1061
39.3 IPS |
|
|
Text Classification (SP)
|
100% |
531
708.2 IPS |
|
|
Text Classification (HP)
|
100% |
305
407.1 IPS |
|
|
Text Classification (Q)
|
97% |
434
581.4 IPS |
|
|
Machine Translation (SP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.09 IPS |
|
|
Machine Translation (Q)
|
65% |
1107
22.3 IPS |
