CHUWI CoreBox Pro
Geekbench AI Score
920
Single Precision Score
510
Half Precision Score
1912
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | edsinsi |
| Upload Date | December 12 2024 06:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1005G1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | CHUWI CoreBox Pro |
| Motherboard | IP3 Tech IB2 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1005G1 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
629
116.9 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
99% |
1546
288.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
323
5.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1030
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1149
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
834
0.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
3916
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
86% |
1520
122.2 IPS |
|
|
Face Detection (SP)
|
100% |
1582
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
636
7.56 IPS |
|
|
Face Detection (Q)
|
97% |
2886
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1571
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
754
5.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
3768
30.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2997
3.85 IPS |
|
|
Style Transfer (HP)
|
100% |
2184
2.81 IPS |
|
|
Style Transfer (Q)
|
98% |
6769
8.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
649
24.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
508
18.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1535
56.8 IPS |
|
|
Text Classification (SP)
|
100% |
602
803.4 IPS |
|
|
Text Classification (HP)
|
100% |
337
449.6 IPS |
|
|
Text Classification (Q)
|
97% |
508
680.1 IPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
65% |
1204
24.2 IPS |
