Gigabyte Technology Co., Ltd. B660M DS3H DDR4
Geekbench ML Score
10087
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 03:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
4849
907.4 IPS |
|
|
Image Classification (F16)
|
100% |
4877
912.7 IPS |
|
|
Image Classification (I8)
|
99% |
4080
763.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
7424
124.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
7528
125.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
6709
112.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
80534
97.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
80668
97.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
64885
78.6 IPS |
|
|
Object Detection (F32)
|
100% |
4262
318.2 IPS |
|
|
Object Detection (F16)
|
100% |
4240
316.5 IPS |
|
|
Object Detection (I8)
|
60% |
3996
298.3 IPS |
|
|
Face Detection (F32)
|
100% |
15847
188.4 IPS |
|
|
Face Detection (F16)
|
100% |
16221
192.9 IPS |
|
|
Face Detection (I8)
|
88% |
11761
139.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
28695
222.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
28529
221.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
24371
189.0 IPS |
|
|
Style Transfer (F32)
|
100% |
167187
219.9 IPS |
|
|
Style Transfer (F16)
|
100% |
165411
217.6 IPS |
|
|
Style Transfer (I8)
|
98% |
129786
170.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16421
586.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16011
571.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
12439
444.2 IPS |
|
|
Text Classification (F32)
|
90% |
747
1.07 KIPS |
|
|
Text Classification (F16)
|
90% |
775
1.11 KIPS |
|
|
Text Classification (I8)
|
90% |
576
827.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2001
36.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1997
36.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1251
23.0 IPS |
