Gigabyte Technology Co., Ltd. B660M DS3H DDR4
Geekbench ML Score
9999
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 12 2025 04:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660M DS3H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660M DS3H DDR4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 6 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A770 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4744
887.7 IPS |
|
|
Image Classification (F16)
|
100% |
4589
858.8 IPS |
|
|
Image Classification (I8)
|
99% |
4084
764.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
7129
119.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
7108
118.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
6459
107.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
83568
101.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
82874
100.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
67814
82.1 IPS |
|
|
Object Detection (F32)
|
100% |
4453
332.4 IPS |
|
|
Object Detection (F16)
|
100% |
4521
337.5 IPS |
|
|
Object Detection (I8)
|
60% |
4149
309.8 IPS |
|
|
Face Detection (F32)
|
100% |
14526
172.7 IPS |
|
|
Face Detection (F16)
|
100% |
15429
183.5 IPS |
|
|
Face Detection (I8)
|
88% |
11049
131.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
28578
221.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
29204
226.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
23562
182.7 IPS |
|
|
Style Transfer (F32)
|
100% |
167273
220.0 IPS |
|
|
Style Transfer (F16)
|
100% |
165692
218.0 IPS |
|
|
Style Transfer (I8)
|
98% |
127404
167.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16552
591.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16440
587.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12518
447.1 IPS |
|
|
Text Classification (F32)
|
90% |
701
1.01 KIPS |
|
|
Text Classification (F16)
|
90% |
692
994.1 IPS |
|
|
Text Classification (I8)
|
90% |
591
848.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2072
38.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2028
37.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1239
22.8 IPS |
