Acer Aspire A515-58GM
Geekbench AI Score
2100
Single Precision Score
628
Half Precision Score
3284
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | iClondike |
| Upload Date | December 09 2024 06:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Acer Aspire A515-58GM |
| Motherboard | RPL KellyG_RTU |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (Q)
|
99% |
2396
447.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
233
3.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
2437
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3942
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2989
3.49 IPS |
|
|
Pose Estimation (Q)
|
95% |
13539
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
88% |
1516
121.5 IPS |
|
|
Face Detection (SP)
|
100% |
1802
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
273
3.24 IPS |
|
|
Face Detection (Q)
|
97% |
2696
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4345
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
721
5.56 IPS |
|
|
Depth Estimation (Q)
|
76% |
5337
43.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7635
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
5847
7.52 IPS |
|
|
Style Transfer (Q)
|
98% |
11801
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1751
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2955
109.4 IPS |
|
|
Text Classification (SP)
|
100% |
1443
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
612
816.4 IPS |
|
|
Text Classification (Q)
|
97% |
1473
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1315
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.07 IPS |
|
|
Machine Translation (Q)
|
60% |
1648
36.8 IPS |
