GIGABYTE G6 MF
Geekbench ML Score
3356
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 01:08 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1786
334.2 IPS |
|
|
Image Classification (F16)
|
100% |
1734
324.5 IPS |
|
|
Image Classification (I8)
|
99% |
3273
612.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1648
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1575
26.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2377
39.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
4826
5.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
5381
6.52 IPS |
|
|
Pose Estimation (I8)
|
100% |
18118
21.9 IPS |
|
|
Object Detection (F32)
|
100% |
1816
135.5 IPS |
|
|
Object Detection (F16)
|
100% |
1733
129.4 IPS |
|
|
Object Detection (I8)
|
62% |
1912
142.7 IPS |
|
|
Face Detection (F32)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (F16)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (I8)
|
89% |
3912
46.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6043
46.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5996
46.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
12742
98.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13096
17.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12564
16.5 IPS |
|
|
Style Transfer (I8)
|
98% |
19780
26.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3038
108.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2741
97.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4829
172.4 IPS |
|
|
Text Classification (F32)
|
100% |
1541
2.21 KIPS |
|
|
Text Classification (F16)
|
100% |
1532
2.20 KIPS |
|
|
Text Classification (I8)
|
98% |
514
739.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1969
36.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1889
34.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2830
52.1 IPS |
