GIGABYTE G6 MF
Geekbench ML Score
10310
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 01:37 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% |
4481
838.5 IPS |
|
|
Image Classification (F16)
|
100% |
4794
897.2 IPS |
|
|
Image Classification (I8)
|
100% |
4213
788.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
7278
121.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
6642
110.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
5889
98.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
57078
69.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
56885
68.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
49660
60.1 IPS |
|
|
Object Detection (F32)
|
100% |
4405
328.9 IPS |
|
|
Object Detection (F16)
|
100% |
4581
342.0 IPS |
|
|
Object Detection (I8)
|
61% |
3883
289.9 IPS |
|
|
Face Detection (F32)
|
100% |
12348
146.8 IPS |
|
|
Face Detection (F16)
|
100% |
12952
154.0 IPS |
|
|
Face Detection (I8)
|
89% |
10711
127.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
27419
212.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
26509
205.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
20742
160.9 IPS |
|
|
Style Transfer (F32)
|
100% |
112246
147.7 IPS |
|
|
Style Transfer (F16)
|
100% |
95493
125.6 IPS |
|
|
Style Transfer (I8)
|
98% |
86154
113.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19016
679.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19471
695.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14702
525.1 IPS |
|
|
Text Classification (F32)
|
100% |
1821
2.62 KIPS |
|
|
Text Classification (F16)
|
100% |
1832
2.63 KIPS |
|
|
Text Classification (I8)
|
98% |
1185
1.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
3042
56.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2984
54.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1649
30.4 IPS |
