AWOW Technology Co., Ltd. AK10 PRO
Geekbench AI Score
356
Single Precision Score
350
Half Precision Score
255
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | over_time_ |
| Upload Date | May 24 2025 05:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | AWOW Technology Co., Ltd. AK10 PRO |
| Motherboard | AWOW Technology Co., Ltd. AK10 PRO |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (Q)
|
99% |
156
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
336
5.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
204
3.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
306
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
306
0.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
343
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
85% |
154
12.4 IPS |
|
|
Face Detection (SP)
|
100% |
406
4.82 IPS |
|
|
Face Detection (HP)
|
100% |
410
4.87 IPS |
|
|
Face Detection (Q)
|
97% |
377
4.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
371
2.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
357
2.75 IPS |
|
|
Depth Estimation (Q)
|
63% |
323
3.02 IPS |
|
|
Style Transfer (SP)
|
100% |
560
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
568
0.73 IPS |
|
|
Style Transfer (Q)
|
98% |
816
1.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.83 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
207
7.64 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
209
7.73 IPS |
|
|
Text Classification (SP)
|
100% |
578
770.8 IPS |
|
|
Text Classification (HP)
|
100% |
465
620.1 IPS |
|
|
Text Classification (Q)
|
92% |
228
306.5 IPS |
|
|
Machine Translation (SP)
|
100% |
444
7.64 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (Q)
|
58% |
149
3.49 IPS |
