GIGABYTE G6 MF
Geekbench ML Score
455
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 01:23 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | GIGABYTE G6 MF |
| Motherboard | GIGABYTE G6 MF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 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 | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
227
42.6 IPS |
|
|
Image Classification (F16)
|
100% |
225
42.1 IPS |
|
|
Image Classification (I8)
|
100% |
178
33.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
329
5.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
330
5.51 IPS |
|
|
Image Segmentation (I8)
|
98% |
240
4.01 IPS |
|
|
Pose Estimation (F32)
|
100% |
1867
2.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
1868
2.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
1021
1.24 IPS |
|
|
Object Detection (F32)
|
100% |
250
18.6 IPS |
|
|
Object Detection (F16)
|
100% |
251
18.8 IPS |
|
|
Object Detection (I8)
|
54% |
207
15.5 IPS |
|
|
Face Detection (F32)
|
100% |
483
5.74 IPS |
|
|
Face Detection (F16)
|
100% |
482
5.73 IPS |
|
|
Face Detection (I8)
|
89% |
333
3.95 IPS |
|
|
Depth Estimation (F32)
|
100% |
1018
7.89 IPS |
|
|
Depth Estimation (F16)
|
100% |
1018
7.90 IPS |
|
|
Depth Estimation (I8)
|
95% |
730
5.66 IPS |
|
|
Style Transfer (F32)
|
100% |
3856
5.07 IPS |
|
|
Style Transfer (F16)
|
100% |
3857
5.07 IPS |
|
|
Style Transfer (I8)
|
98% |
2614
3.44 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
596
21.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
596
21.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
282
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
192
276.3 IPS |
|
|
Text Classification (F16)
|
100% |
195
279.7 IPS |
|
|
Text Classification (I8)
|
98% |
98
141.4 IPS |
|
|
Machine Translation (F32)
|
100% |
227
4.18 IPS |
|
|
Machine Translation (F16)
|
100% |
227
4.18 IPS |
|
|
Machine Translation (I8)
|
70% |
117
2.14 IPS |
