ASUSTeK COMPUTER INC. GL702VM
Geekbench ML Score
1136
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 06:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. GL702VM |
| Motherboard | ASUSTeK COMPUTER INC. GL702VM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
613
114.7 IPS |
|
|
Image Classification (F16)
|
100% |
636
118.9 IPS |
|
|
Image Classification (I8)
|
97% |
1083
202.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
481
8.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
511
8.54 IPS |
|
|
Image Segmentation (I8)
|
97% |
759
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1717
2.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
1895
2.29 IPS |
|
|
Pose Estimation (I8)
|
100% |
3343
4.05 IPS |
|
|
Object Detection (F32)
|
100% |
598
44.6 IPS |
|
|
Object Detection (F16)
|
100% |
622
46.4 IPS |
|
|
Object Detection (I8)
|
60% |
701
52.3 IPS |
|
|
Face Detection (F32)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1017
12.1 IPS |
|
|
Face Detection (I8)
|
87% |
1615
19.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2140
16.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2074
16.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
3365
26.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4339
5.71 IPS |
|
|
Style Transfer (F16)
|
100% |
4616
6.07 IPS |
|
|
Style Transfer (I8)
|
85% |
5898
7.76 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
944
33.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
926
33.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1253
44.7 IPS |
|
|
Text Classification (F32)
|
100% |
626
900.1 IPS |
|
|
Text Classification (F16)
|
100% |
719
1.03 KIPS |
|
|
Text Classification (I8)
|
94% |
225
323.0 IPS |
|
|
Machine Translation (F32)
|
100% |
804
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
778
14.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1017
18.7 IPS |
