Acer Aspire A515-57
Geekbench ML Score
2552
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 27 2024 06:17 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1302
243.7 IPS |
|
|
Image Classification (F16)
|
100% |
1311
245.3 IPS |
|
|
Image Classification (I8)
|
99% |
2301
430.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1080
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1115
18.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2349
39.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3781
4.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
3680
4.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
10451
12.7 IPS |
|
|
Object Detection (F32)
|
100% |
1413
105.5 IPS |
|
|
Object Detection (F16)
|
100% |
1386
103.5 IPS |
|
|
Object Detection (I8)
|
62% |
1348
100.6 IPS |
|
|
Face Detection (F32)
|
100% |
2382
28.3 IPS |
|
|
Face Detection (F16)
|
100% |
2324
27.6 IPS |
|
|
Face Detection (I8)
|
89% |
3276
38.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4380
34.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4310
33.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
8951
69.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9325
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
9255
12.2 IPS |
|
|
Style Transfer (I8)
|
98% |
14299
18.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2063
73.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2081
74.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3303
118.0 IPS |
|
|
Text Classification (F32)
|
100% |
1123
1.61 KIPS |
|
|
Text Classification (F16)
|
100% |
1126
1.62 KIPS |
|
|
Text Classification (I8)
|
98% |
1041
1.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
1528
28.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1534
28.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2281
42.0 IPS |
