ASUSTeK COMPUTER INC. Zenbook UX8402VU_UX8402VU
Geekbench ML Score
2008
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 06:27 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Zenbook UX8402VU_UX8402VU |
| Motherboard | ASUSTeK COMPUTER INC. UX8402VU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 18.0 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% |
1089
203.8 IPS |
|
|
Image Classification (F16)
|
100% |
1029
192.5 IPS |
|
|
Image Classification (I8)
|
99% |
2157
403.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
971
16.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
949
15.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1575
26.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2864
3.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
2429
2.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
11048
13.4 IPS |
|
|
Object Detection (F32)
|
100% |
889
66.4 IPS |
|
|
Object Detection (F16)
|
100% |
1250
93.4 IPS |
|
|
Object Detection (I8)
|
62% |
1122
83.7 IPS |
|
|
Face Detection (F32)
|
100% |
2080
24.7 IPS |
|
|
Face Detection (F16)
|
100% |
2094
24.9 IPS |
|
|
Face Detection (I8)
|
89% |
2463
29.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3279
25.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3658
28.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
9063
70.3 IPS |
|
|
Style Transfer (F32)
|
100% |
7156
9.41 IPS |
|
|
Style Transfer (F16)
|
100% |
6255
8.23 IPS |
|
|
Style Transfer (I8)
|
98% |
11086
14.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1579
56.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1730
61.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2877
102.7 IPS |
|
|
Text Classification (F32)
|
100% |
1274
1.83 KIPS |
|
|
Text Classification (F16)
|
100% |
1192
1.71 KIPS |
|
|
Text Classification (I8)
|
98% |
389
559.6 IPS |
|
|
Machine Translation (F32)
|
100% |
988
18.2 IPS |
|
|
Machine Translation (F16)
|
100% |
988
18.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1391
25.6 IPS |
