CHUWI Innovation And Technology(ShenZhen)co.,Ltd FreeBook
Geekbench AI Score
1404
Single Precision Score
2198
Half Precision Score
3180
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | mvildosola |
| Upload Date | September 05 2025 02:40 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | CHUWI Innovation And Technology(ShenZhen)co.,Ltd FreeBook |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
875
162.8 IPS |
|
|
Image Classification (HP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (Q)
|
99% |
1977
368.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2588
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2147
2.51 IPS |
|
|
Pose Estimation (HP)
|
99% |
1807
2.11 IPS |
|
|
Pose Estimation (Q)
|
97% |
6234
7.30 IPS |
|
|
Object Detection (SP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (HP)
|
99% |
1342
106.5 IPS |
|
|
Object Detection (Q)
|
90% |
2106
168.4 IPS |
|
|
Face Detection (SP)
|
100% |
2607
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
4426
52.6 IPS |
|
|
Face Detection (Q)
|
100% |
5416
64.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2635
20.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4710
36.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
6055
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5947
7.64 IPS |
|
|
Style Transfer (HP)
|
100% |
9260
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15180
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1081
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3181
117.8 IPS |
|
|
Text Classification (SP)
|
71% |
612
884.8 IPS |
|
|
Text Classification (HP)
|
71% |
779
1.13 KIPS |
|
|
Text Classification (Q)
|
92% |
792
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
577
9.95 IPS |
|
|
Machine Translation (HP)
|
98% |
1211
20.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1256
21.6 IPS |
