Acer Aspire E5-473G
Geekbench ML Score
281
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | May 02 2025 03:38 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 | DirectML |
| Device | Intel(R) HD Graphics 5500 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
182
34.1 IPS |
|
|
Image Classification (F16)
|
100% |
181
34.0 IPS |
|
|
Image Classification (I8)
|
100% |
71
13.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
239
3.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
239
4.00 IPS |
|
|
Image Segmentation (I8)
|
98% |
86
1.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
841
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
844
1.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
512
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
195
14.5 IPS |
|
|
Object Detection (F16)
|
100% |
195
14.6 IPS |
|
|
Object Detection (I8)
|
63% |
87
6.49 IPS |
|
|
Face Detection (F32)
|
100% |
362
4.30 IPS |
|
|
Face Detection (F16)
|
100% |
354
4.20 IPS |
|
|
Face Detection (I8)
|
87% |
94
1.12 IPS |
|
|
Depth Estimation (F32)
|
58% |
678
5.26 IPS |
|
|
Depth Estimation (F16)
|
56% |
683
5.30 IPS |
|
|
Depth Estimation (I8)
|
94% |
281
2.18 IPS |
|
|
Style Transfer (F32)
|
100% |
1778
2.34 IPS |
|
|
Style Transfer (F16)
|
100% |
1756
2.31 IPS |
|
|
Style Transfer (I8)
|
98% |
964
1.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
499
17.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
487
17.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
179
6.38 IPS |
|
|
Text Classification (F32)
|
100% |
229
329.0 IPS |
|
|
Text Classification (F16)
|
100% |
234
335.9 IPS |
|
|
Text Classification (I8)
|
98% |
39
55.7 IPS |
|
|
Machine Translation (F32)
|
100% |
329
6.06 IPS |
|
|
Machine Translation (F16)
|
100% |
328
6.03 IPS |
|
|
Machine Translation (I8)
|
71% |
46
0.85 IPS |
