Acer Aspire A515-57
Geekbench ML Score
1800
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 27 2024 06:15 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Aspire A515-57 |
| Motherboard | ADL Ganymede_ADU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
851
159.3 IPS |
|
|
Image Classification (F16)
|
100% |
847
158.6 IPS |
|
|
Image Classification (I8)
|
100% |
693
129.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1314
21.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1317
22.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1014
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8097
9.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
8134
9.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
4381
5.30 IPS |
|
|
Object Detection (F32)
|
100% |
856
63.9 IPS |
|
|
Object Detection (F16)
|
100% |
883
65.9 IPS |
|
|
Object Detection (I8)
|
54% |
695
51.9 IPS |
|
|
Face Detection (F32)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (F16)
|
100% |
1881
22.4 IPS |
|
|
Face Detection (I8)
|
89% |
1284
15.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4302
33.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4307
33.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3096
24.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17867
23.5 IPS |
|
|
Style Transfer (F16)
|
100% |
17886
23.5 IPS |
|
|
Style Transfer (I8)
|
98% |
11630
15.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2649
94.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2701
96.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1192
42.6 IPS |
|
|
Text Classification (F32)
|
100% |
741
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
695
999.0 IPS |
|
|
Text Classification (I8)
|
98% |
362
519.6 IPS |
|
|
Machine Translation (F32)
|
100% |
726
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
734
13.5 IPS |
|
|
Machine Translation (I8)
|
70% |
423
7.78 IPS |
