AK10 PRO
Geekbench AI Score
918
Single Precision Score
898
Half Precision Score
1796
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ttam |
| Upload Date | November 08 2025 05:00 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) 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% |
533
99.1 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.2 IPS |
|
|
Image Classification (Q)
|
100% |
1125
209.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1155
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1015
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
2247
2.63 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
88% |
1118
89.6 IPS |
|
|
Face Detection (SP)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (Q)
|
100% |
2829
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1380
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1307
10.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
2992
23.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2786
3.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2734
3.51 IPS |
|
|
Style Transfer (Q)
|
98% |
6965
8.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
606
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1489
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
673
897.7 IPS |
|
|
Text Classification (HP)
|
100% |
679
906.1 IPS |
|
|
Text Classification (Q)
|
92% |
1142
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1071
18.5 IPS |
