CHUWI Innovation And Technology(ShenZhen)co.,Ltd FreeBook
Geekbench AI Score
928
Single Precision Score
497
Half Precision Score
1576
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mvildosola |
| Upload Date | September 05 2025 12:30 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
625
116.3 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (Q)
|
99% |
1077
200.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
1365
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1165
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
906
1.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
2444
2.87 IPS |
|
|
Object Detection (SP)
|
100% |
611
48.4 IPS |
|
|
Object Detection (HP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (Q)
|
86% |
1082
87.0 IPS |
|
|
Face Detection (SP)
|
100% |
1594
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
606
7.20 IPS |
|
|
Face Detection (Q)
|
97% |
2323
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1602
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
703
5.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
2636
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2991
3.85 IPS |
|
|
Style Transfer (HP)
|
100% |
2179
2.80 IPS |
|
|
Style Transfer (Q)
|
98% |
4642
5.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
621
22.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
483
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1111
41.1 IPS |
|
|
Text Classification (SP)
|
100% |
559
746.3 IPS |
|
|
Text Classification (HP)
|
100% |
332
443.3 IPS |
|
|
Text Classification (Q)
|
97% |
682
913.6 IPS |
|
|
Machine Translation (SP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
65% |
1136
22.8 IPS |
