Gigabyte Technology Co., Ltd. B660M DS3H DDR4
Geekbench ML Score
2195
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 09:50 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 i5-12400 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1107
207.1 IPS |
|
|
Image Classification (F16)
|
100% |
1147
214.6 IPS |
|
|
Image Classification (I8)
|
99% |
2478
463.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
919
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
994
16.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1563
26.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3521
4.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
2809
3.40 IPS |
|
|
Pose Estimation (I8)
|
100% |
13124
15.9 IPS |
|
|
Object Detection (F32)
|
100% |
1119
83.6 IPS |
|
|
Object Detection (F16)
|
100% |
1135
84.7 IPS |
|
|
Object Detection (I8)
|
62% |
1385
103.4 IPS |
|
|
Face Detection (F32)
|
100% |
1653
19.7 IPS |
|
|
Face Detection (F16)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (I8)
|
89% |
2632
31.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3631
28.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3681
28.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
9661
74.9 IPS |
|
|
Style Transfer (F32)
|
100% |
7974
10.5 IPS |
|
|
Style Transfer (F16)
|
100% |
8045
10.6 IPS |
|
|
Style Transfer (I8)
|
98% |
11360
14.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1755
62.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1745
62.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3568
127.4 IPS |
|
|
Text Classification (F32)
|
100% |
1363
1.96 KIPS |
|
|
Text Classification (F16)
|
100% |
1408
2.02 KIPS |
|
|
Text Classification (I8)
|
98% |
374
537.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1299
23.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1292
23.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1908
35.1 IPS |
