Hewlett-Packard HP Compaq Elite 8300 SFF
Geekbench ML Score
470
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 17 2023 10:57 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Compaq Elite 8300 SFF |
| Motherboard | Hewlett-Packard 3397 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3470 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.20 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 | 4.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
220
41.2 IPS |
|
|
Image Classification (F16)
|
100% |
198
37.0 IPS |
|
|
Image Classification (I8)
|
96% |
309
57.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
161
2.69 IPS |
|
|
Image Segmentation (F16)
|
100% |
237
3.96 IPS |
|
|
Image Segmentation (I8)
|
97% |
307
5.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
876
1.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
826
1.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
968
1.17 IPS |
|
|
Object Detection (F32)
|
100% |
301
22.5 IPS |
|
|
Object Detection (F16)
|
100% |
269
20.1 IPS |
|
|
Object Detection (I8)
|
62% |
243
18.1 IPS |
|
|
Face Detection (F32)
|
100% |
394
4.69 IPS |
|
|
Face Detection (F16)
|
100% |
390
4.64 IPS |
|
|
Face Detection (I8)
|
87% |
489
5.81 IPS |
|
|
Depth Estimation (F32)
|
100% |
957
7.42 IPS |
|
|
Depth Estimation (F16)
|
100% |
915
7.09 IPS |
|
|
Depth Estimation (I8)
|
74% |
1036
8.03 IPS |
|
|
Style Transfer (F32)
|
100% |
2335
3.07 IPS |
|
|
Style Transfer (F16)
|
100% |
2369
3.12 IPS |
|
|
Style Transfer (I8)
|
85% |
1884
2.48 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
422
15.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
449
16.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
432
15.4 IPS |
|
|
Text Classification (F32)
|
100% |
372
534.8 IPS |
|
|
Text Classification (F16)
|
100% |
421
604.8 IPS |
|
|
Text Classification (I8)
|
94% |
189
271.0 IPS |
|
|
Machine Translation (F32)
|
100% |
410
7.55 IPS |
|
|
Machine Translation (F16)
|
100% |
366
6.73 IPS |
|
|
Machine Translation (I8)
|
67% |
274
5.05 IPS |
