ASUS All Series
Geekbench ML Score
234
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2024 12:48 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. VANGUARD B85 |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 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 | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 4600 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
185
34.7 IPS |
|
|
Image Classification (F16)
|
100% |
185
34.6 IPS |
|
|
Image Classification (I8)
|
100% |
52
9.69 IPS |
|
|
Image Segmentation (F32)
|
100% |
244
4.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
246
4.11 IPS |
|
|
Image Segmentation (I8)
|
98% |
65
1.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
936
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
940
1.14 IPS |
|
|
Pose Estimation (I8)
|
100% |
486
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
158
11.8 IPS |
|
|
Object Detection (F16)
|
100% |
172
12.8 IPS |
|
|
Object Detection (I8)
|
63% |
64
4.77 IPS |
|
|
Face Detection (F32)
|
100% |
371
4.41 IPS |
|
|
Face Detection (F16)
|
100% |
370
4.40 IPS |
|
|
Face Detection (I8)
|
87% |
71
0.84 IPS |
|
|
Depth Estimation (F32)
|
100% |
673
5.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
675
5.23 IPS |
|
|
Depth Estimation (I8)
|
94% |
190
1.48 IPS |
|
|
Style Transfer (F32)
|
100% |
1544
2.03 IPS |
|
|
Style Transfer (F16)
|
100% |
1545
2.03 IPS |
|
|
Style Transfer (I8)
|
98% |
861
1.13 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
518
18.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
515
18.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
135
4.80 IPS |
|
|
Text Classification (F32)
|
100% |
137
197.1 IPS |
|
|
Text Classification (F16)
|
100% |
137
197.1 IPS |
|
|
Text Classification (I8)
|
98% |
17
24.2 IPS |
|
|
Machine Translation (F32)
|
100% |
245
4.51 IPS |
|
|
Machine Translation (F16)
|
100% |
244
4.49 IPS |
|
|
Machine Translation (I8)
|
71% |
21
0.39 IPS |
