Generic
Geekbench ML Score
1108
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | F4T4L1TY |
| Upload Date | June 17 2024 04:28 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock H81M-VG4 R2.0 |
| Power Plan | Teljestmnycentrikus |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4440 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.10 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
690
129.1 IPS |
|
|
Image Classification (F16)
|
100% |
636
119.0 IPS |
|
|
Image Classification (I8)
|
97% |
777
145.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
522
8.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
474
7.91 IPS |
|
|
Image Segmentation (I8)
|
97% |
698
11.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2115
2.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
2102
2.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
2377
2.88 IPS |
|
|
Object Detection (F32)
|
100% |
660
49.3 IPS |
|
|
Object Detection (F16)
|
100% |
621
46.3 IPS |
|
|
Object Detection (I8)
|
60% |
598
44.7 IPS |
|
|
Face Detection (F32)
|
100% |
1047
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (I8)
|
87% |
1474
17.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2247
17.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2203
17.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
2611
20.2 IPS |
|
|
Style Transfer (F32)
|
100% |
4683
6.16 IPS |
|
|
Style Transfer (F16)
|
100% |
4577
6.02 IPS |
|
|
Style Transfer (I8)
|
85% |
4516
5.94 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
947
33.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1019
36.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1009
36.0 IPS |
|
|
Text Classification (F32)
|
100% |
717
1.03 KIPS |
|
|
Text Classification (F16)
|
100% |
687
987.2 IPS |
|
|
Text Classification (I8)
|
94% |
252
362.2 IPS |
|
|
Machine Translation (F32)
|
100% |
813
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
787
14.5 IPS |
|
|
Machine Translation (I8)
|
67% |
935
17.2 IPS |
