Acer Aspire E5-473G
Geekbench ML Score
489
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | May 02 2025 03:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Acer Aspire E5-473G |
| Motherboard | Acer Robin_BH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-5200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 2 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 | 3.00 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% |
263
49.2 IPS |
|
|
Image Classification (F16)
|
100% |
257
48.1 IPS |
|
|
Image Classification (I8)
|
97% |
328
61.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
226
3.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
232
3.87 IPS |
|
|
Image Segmentation (I8)
|
97% |
295
4.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
808
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
773
0.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
933
1.13 IPS |
|
|
Object Detection (F32)
|
100% |
265
19.8 IPS |
|
|
Object Detection (F16)
|
100% |
262
19.6 IPS |
|
|
Object Detection (I8)
|
60% |
266
19.9 IPS |
|
|
Face Detection (F32)
|
100% |
448
5.33 IPS |
|
|
Face Detection (F16)
|
100% |
447
5.32 IPS |
|
|
Face Detection (I8)
|
87% |
695
8.26 IPS |
|
|
Depth Estimation (F32)
|
100% |
900
6.98 IPS |
|
|
Depth Estimation (F16)
|
100% |
886
6.87 IPS |
|
|
Depth Estimation (I8)
|
74% |
999
7.75 IPS |
|
|
Style Transfer (F32)
|
100% |
1844
2.43 IPS |
|
|
Style Transfer (F16)
|
100% |
1898
2.50 IPS |
|
|
Style Transfer (I8)
|
85% |
1825
2.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
456
16.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
440
15.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
503
18.0 IPS |
|
|
Text Classification (F32)
|
100% |
340
488.3 IPS |
|
|
Text Classification (F16)
|
100% |
360
517.6 IPS |
|
|
Text Classification (I8)
|
94% |
169
243.5 IPS |
|
|
Machine Translation (F32)
|
100% |
455
8.38 IPS |
|
|
Machine Translation (F16)
|
100% |
454
8.35 IPS |
|
|
Machine Translation (I8)
|
67% |
429
7.90 IPS |
