CHUWI Innovation And Technology(ShenZhen)co.,Ltd FreeBook
Geekbench AI Score
896
Single Precision Score
943
Half Precision Score
635
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mvildosola |
| Upload Date | September 05 2025 12:42 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.7 IPS |
|
|
Image Classification (Q)
|
100% |
338
62.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
558
9.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
437
7.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
2497
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2913
3.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
1848
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
443
35.1 IPS |
|
|
Object Detection (HP)
|
98% |
396
31.5 IPS |
|
|
Object Detection (Q)
|
86% |
379
30.4 IPS |
|
|
Face Detection (SP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
703
8.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
1663
12.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
1839
14.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1269
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5275
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
7414
9.53 IPS |
|
|
Style Transfer (Q)
|
98% |
4095
5.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
920
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
520
19.2 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.6 IPS |
|
|
Text Classification (HP)
|
100% |
271
362.1 IPS |
|
|
Text Classification (Q)
|
97% |
236
315.5 IPS |
|
|
Machine Translation (SP)
|
100% |
423
7.29 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
70% |
231
4.33 IPS |
