GIGABYTE G6 MF
Geekbench ML Score
3346
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 01:09 PM |
| Views | 2 |
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 | 64.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 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% |
1799
336.6 IPS |
|
|
Image Classification (F16)
|
100% |
1757
328.9 IPS |
|
|
Image Classification (I8)
|
99% |
3339
624.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1684
28.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1568
26.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2343
39.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5221
6.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
4748
5.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
18857
22.8 IPS |
|
|
Object Detection (F32)
|
100% |
1708
127.5 IPS |
|
|
Object Detection (F16)
|
100% |
1814
135.4 IPS |
|
|
Object Detection (I8)
|
62% |
1911
142.7 IPS |
|
|
Face Detection (F32)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (F16)
|
100% |
3252
38.7 IPS |
|
|
Face Detection (I8)
|
89% |
4014
47.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5930
46.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5951
46.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
13073
101.4 IPS |
|
|
Style Transfer (F32)
|
100% |
12662
16.7 IPS |
|
|
Style Transfer (F16)
|
100% |
12424
16.3 IPS |
|
|
Style Transfer (I8)
|
98% |
18270
24.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2870
102.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2982
106.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4445
158.7 IPS |
|
|
Text Classification (F32)
|
100% |
1567
2.25 KIPS |
|
|
Text Classification (F16)
|
100% |
1616
2.32 KIPS |
|
|
Text Classification (I8)
|
98% |
492
707.4 IPS |
|
|
Machine Translation (F32)
|
100% |
2169
39.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1872
34.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2746
50.5 IPS |
