GIGABYTE G6 MF
Geekbench ML Score
3409
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 01:07 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% |
1687
315.7 IPS |
|
|
Image Classification (F16)
|
100% |
1800
336.7 IPS |
|
|
Image Classification (I8)
|
99% |
3306
618.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1578
26.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1632
27.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2434
40.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5410
6.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
5432
6.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
19316
23.4 IPS |
|
|
Object Detection (F32)
|
100% |
1810
135.1 IPS |
|
|
Object Detection (F16)
|
100% |
1958
146.2 IPS |
|
|
Object Detection (I8)
|
62% |
1787
133.4 IPS |
|
|
Face Detection (F32)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (F16)
|
100% |
3370
40.1 IPS |
|
|
Face Detection (I8)
|
89% |
4274
50.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6820
52.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6078
47.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
12176
94.4 IPS |
|
|
Style Transfer (F32)
|
100% |
13748
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12591
16.6 IPS |
|
|
Style Transfer (I8)
|
98% |
20707
27.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2812
100.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3181
113.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4572
163.3 IPS |
|
|
Text Classification (F32)
|
100% |
1527
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1538
2.21 KIPS |
|
|
Text Classification (I8)
|
98% |
474
680.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1949
35.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1971
36.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2757
50.7 IPS |
