Generic
Geekbench ML Score
1476
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 01:27 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H370 Pro4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 11 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
821
153.7 IPS |
|
|
Image Classification (F16)
|
100% |
879
164.4 IPS |
|
|
Image Classification (I8)
|
97% |
1160
217.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
621
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
616
10.3 IPS |
|
|
Image Segmentation (I8)
|
97% |
855
14.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2618
3.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
2676
3.24 IPS |
|
|
Pose Estimation (I8)
|
100% |
4690
5.68 IPS |
|
|
Object Detection (F32)
|
100% |
836
62.4 IPS |
|
|
Object Detection (F16)
|
100% |
823
61.5 IPS |
|
|
Object Detection (I8)
|
60% |
866
64.7 IPS |
|
|
Face Detection (F32)
|
100% |
1205
14.3 IPS |
|
|
Face Detection (F16)
|
100% |
1224
14.6 IPS |
|
|
Face Detection (I8)
|
87% |
1920
22.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2949
22.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2873
22.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
4026
31.2 IPS |
|
|
Style Transfer (F32)
|
100% |
5786
7.61 IPS |
|
|
Style Transfer (F16)
|
100% |
5494
7.23 IPS |
|
|
Style Transfer (I8)
|
85% |
6881
9.05 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1333
47.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1330
47.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1694
60.5 IPS |
|
|
Text Classification (F32)
|
100% |
865
1.24 KIPS |
|
|
Text Classification (F16)
|
100% |
888
1.28 KIPS |
|
|
Text Classification (I8)
|
94% |
284
407.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1179
21.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1159
21.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1167
21.5 IPS |
