GIGABYTE G6 MF
Geekbench ML Score
10387
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 01:36 PM |
| Views | 4 |
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% |
4546
850.7 IPS |
|
|
Image Classification (F16)
|
100% |
4657
871.5 IPS |
|
|
Image Classification (I8)
|
100% |
4349
813.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
7346
122.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
6626
110.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
6077
101.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
56562
68.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
59351
71.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
49611
60.1 IPS |
|
|
Object Detection (F32)
|
100% |
4222
315.2 IPS |
|
|
Object Detection (F16)
|
100% |
4230
315.8 IPS |
|
|
Object Detection (I8)
|
61% |
4084
304.9 IPS |
|
|
Face Detection (F32)
|
100% |
12749
151.6 IPS |
|
|
Face Detection (F16)
|
100% |
13725
163.2 IPS |
|
|
Face Detection (I8)
|
89% |
11251
133.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
27157
210.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
27274
211.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
24145
187.2 IPS |
|
|
Style Transfer (F32)
|
100% |
110657
145.6 IPS |
|
|
Style Transfer (F16)
|
100% |
95720
125.9 IPS |
|
|
Style Transfer (I8)
|
98% |
83652
110.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18574
663.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19244
687.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13783
492.2 IPS |
|
|
Text Classification (F32)
|
100% |
1966
2.83 KIPS |
|
|
Text Classification (F16)
|
100% |
1996
2.87 KIPS |
|
|
Text Classification (I8)
|
98% |
1088
1.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
2960
54.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2961
54.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1643
30.2 IPS |
