Acer Aspire A515-58GM
Geekbench AI Score
5720
Single Precision Score
10481
Half Precision Score
4086
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 09 2024 07:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2050 |
| 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% |
2471
459.6 IPS |
|
|
Image Classification (HP)
|
99% |
4149
773.8 IPS |
|
|
Image Classification (Q)
|
99% |
2134
398.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3316
53.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5285
85.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2591
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23541
27.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
75934
88.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
19540
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
2759
218.8 IPS |
|
|
Object Detection (HP)
|
100% |
4876
386.7 IPS |
|
|
Object Detection (Q)
|
84% |
2277
183.6 IPS |
|
|
Face Detection (SP)
|
100% |
5043
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
8484
100.8 IPS |
|
|
Face Detection (Q)
|
97% |
4344
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13902
107.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29796
229.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
10471
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
46161
59.3 IPS |
|
|
Style Transfer (HP)
|
100% |
131359
168.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35778
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7524
277.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14957
552.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4942
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
1960
2.62 KIPS |
|
|
Text Classification (HP)
|
99% |
2538
3.39 KIPS |
|
|
Text Classification (Q)
|
97% |
957
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1477
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (Q)
|
70% |
686
12.9 IPS |
