CHUWI Innovation And Technology(ShenZhen)co.,Ltd FreeBook
Geekbench AI Score
981
Single Precision Score
980
Half Precision Score
1852
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mvildosola |
| Upload Date | September 05 2025 12:17 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | CHUWI Innovation And Technology(ShenZhen)co.,Ltd FreeBook |
| Motherboard | Default string Default string |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| 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% |
547
101.7 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.1 IPS |
|
|
Image Classification (Q)
|
100% |
1117
207.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1202
19.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1085
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1085
1.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
2538
2.97 IPS |
|
|
Object Detection (SP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (HP)
|
100% |
549
43.5 IPS |
|
|
Object Detection (Q)
|
88% |
1138
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
1643
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (Q)
|
100% |
2918
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1444
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1445
11.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
3036
23.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3130
4.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3134
4.03 IPS |
|
|
Style Transfer (Q)
|
98% |
7232
9.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1488
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
677
903.2 IPS |
|
|
Text Classification (HP)
|
100% |
678
904.5 IPS |
|
|
Text Classification (Q)
|
92% |
1134
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1145
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1137
19.6 IPS |
