Gigabyte Technology Co., Ltd. H610M K DDR4
Geekbench ML Score
3761
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 10 2024 09:54 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H610M K DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. H610M K DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 25.0 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% |
2165
405.0 IPS |
|
|
Image Classification (F16)
|
100% |
2145
401.4 IPS |
|
|
Image Classification (I8)
|
99% |
3886
727.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1754
29.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1745
29.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2512
42.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7143
8.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
7082
8.58 IPS |
|
|
Pose Estimation (I8)
|
100% |
23124
28.0 IPS |
|
|
Object Detection (F32)
|
100% |
2010
150.0 IPS |
|
|
Object Detection (F16)
|
100% |
2034
151.9 IPS |
|
|
Object Detection (I8)
|
62% |
1900
141.8 IPS |
|
|
Face Detection (F32)
|
100% |
3185
37.9 IPS |
|
|
Face Detection (F16)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (I8)
|
89% |
4067
48.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7740
60.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7794
60.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
14055
109.0 IPS |
|
|
Style Transfer (F32)
|
100% |
16256
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
16300
21.4 IPS |
|
|
Style Transfer (I8)
|
98% |
19593
25.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3656
130.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3701
132.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5138
183.5 IPS |
|
|
Text Classification (F32)
|
100% |
1509
2.17 KIPS |
|
|
Text Classification (F16)
|
100% |
1506
2.16 KIPS |
|
|
Text Classification (I8)
|
98% |
474
681.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1966
36.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1954
36.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2780
51.2 IPS |
