CHUWI Innovation And Technology(ShenZhen)co.,Ltd AuBox
Geekbench ML Score
3551
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 26 2025 03:19 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | CHUWI Innovation And Technology(ShenZhen)co.,Ltd AuBox |
| Motherboard | CHUWI Innovation And Technology(ShenZhen)co.,Ltd Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8745HS w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1683
314.9 IPS |
|
|
Image Classification (F16)
|
100% |
1641
307.0 IPS |
|
|
Image Classification (I8)
|
99% |
4143
775.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1501
25.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1650
27.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3189
53.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7177
8.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
7165
8.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
24190
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
1704
127.2 IPS |
|
|
Object Detection (F16)
|
100% |
1783
133.1 IPS |
|
|
Object Detection (I8)
|
62% |
1883
140.5 IPS |
|
|
Face Detection (F32)
|
100% |
2082
24.8 IPS |
|
|
Face Detection (F16)
|
100% |
2064
24.5 IPS |
|
|
Face Detection (I8)
|
89% |
3730
44.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6994
54.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6727
52.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
14282
110.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15891
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
15356
20.2 IPS |
|
|
Style Transfer (I8)
|
98% |
16809
22.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2565
91.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2839
101.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3693
131.9 IPS |
|
|
Text Classification (F32)
|
100% |
1964
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
1977
2.84 KIPS |
|
|
Text Classification (I8)
|
98% |
1430
2.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1698
31.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1638
30.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2764
50.9 IPS |
