Acer Aspire A515-43
Geekbench ML Score
856
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | 222ruuiii |
| Upload Date | May 09 2024 12:01 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Acer Aspire A515-43 |
| Motherboard | PK Grumpy_PK |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
554
103.7 IPS |
|
|
Image Classification (F16)
|
100% |
557
104.2 IPS |
|
|
Image Classification (I8)
|
97% |
551
103.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
400
6.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
390
6.51 IPS |
|
|
Image Segmentation (I8)
|
97% |
504
8.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
1280
1.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
1272
1.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
1273
1.54 IPS |
|
|
Object Detection (F32)
|
100% |
532
39.7 IPS |
|
|
Object Detection (F16)
|
100% |
534
39.8 IPS |
|
|
Object Detection (I8)
|
60% |
459
34.2 IPS |
|
|
Face Detection (F32)
|
100% |
1123
13.3 IPS |
|
|
Face Detection (F16)
|
100% |
1127
13.4 IPS |
|
|
Face Detection (I8)
|
87% |
1222
14.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1619
12.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
1621
12.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
1648
12.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3331
4.38 IPS |
|
|
Style Transfer (F16)
|
100% |
3292
4.33 IPS |
|
|
Style Transfer (I8)
|
85% |
3034
3.99 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
708
25.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
720
25.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
672
24.0 IPS |
|
|
Text Classification (F32)
|
100% |
596
856.1 IPS |
|
|
Text Classification (F16)
|
100% |
595
854.4 IPS |
|
|
Text Classification (I8)
|
94% |
207
297.8 IPS |
|
|
Machine Translation (F32)
|
100% |
798
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
786
14.5 IPS |
|
|
Machine Translation (I8)
|
67% |
745
13.7 IPS |
