Acer Aspire A515-58GM
Geekbench AI Score
5599
Single Precision Score
10253
Half Precision Score
3877
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | iClondike |
| Upload Date | December 09 2024 07:20 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% |
2525
469.6 IPS |
|
|
Image Classification (HP)
|
99% |
4348
811.0 IPS |
|
|
Image Classification (Q)
|
100% |
2004
372.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3140
50.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4924
79.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2657
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23695
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
75689
88.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
19524
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (HP)
|
100% |
5211
413.3 IPS |
|
|
Object Detection (Q)
|
89% |
2133
170.7 IPS |
|
|
Face Detection (SP)
|
100% |
4662
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
7804
92.7 IPS |
|
|
Face Detection (Q)
|
97% |
3841
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13308
102.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27686
213.3 IPS |
|
|
Depth Estimation (Q)
|
74% |
9547
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
45762
58.8 IPS |
|
|
Style Transfer (HP)
|
100% |
125790
161.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35978
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7686
283.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15964
589.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5066
187.6 IPS |
|
|
Text Classification (SP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (HP)
|
99% |
2430
3.24 KIPS |
|
|
Text Classification (Q)
|
97% |
895
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (Q)
|
60% |
579
12.9 IPS |
