GIGABYTE G6 MF
Geekbench ML Score
10245
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 01:32 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 | 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 | NVIDIA GeForce RTX 4050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4856
908.7 IPS |
|
|
Image Classification (F16)
|
100% |
4947
925.8 IPS |
|
|
Image Classification (I8)
|
100% |
4080
763.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
6966
116.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
6435
107.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
5941
99.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
55758
67.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
55663
67.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
50306
60.9 IPS |
|
|
Object Detection (F32)
|
100% |
4254
317.6 IPS |
|
|
Object Detection (F16)
|
100% |
4289
320.2 IPS |
|
|
Object Detection (I8)
|
61% |
3961
295.7 IPS |
|
|
Face Detection (F32)
|
100% |
14058
167.2 IPS |
|
|
Face Detection (F16)
|
100% |
12250
145.7 IPS |
|
|
Face Detection (I8)
|
89% |
10617
126.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
26117
202.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
23630
183.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
23740
184.1 IPS |
|
|
Style Transfer (F32)
|
100% |
111337
146.5 IPS |
|
|
Style Transfer (F16)
|
100% |
89335
117.5 IPS |
|
|
Style Transfer (I8)
|
98% |
84509
111.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18629
665.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17852
637.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14519
518.5 IPS |
|
|
Text Classification (F32)
|
100% |
1994
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1825
2.62 KIPS |
|
|
Text Classification (I8)
|
98% |
1152
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
2940
54.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3026
55.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1733
31.9 IPS |
