Acer Aspire A515-58GM
Geekbench AI Score
1817
Single Precision Score
1850
Half Precision Score
1177
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | iClondike |
| Upload Date | December 09 2024 07:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
727
135.3 IPS |
|
|
Image Classification (HP)
|
100% |
750
139.5 IPS |
|
|
Image Classification (Q)
|
100% |
596
110.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
858
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6217
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
7273
8.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
3990
4.68 IPS |
|
|
Object Detection (SP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (HP)
|
98% |
754
60.0 IPS |
|
|
Object Detection (Q)
|
89% |
710
56.8 IPS |
|
|
Face Detection (SP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1808
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
1084
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3462
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3894
30.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
2483
20.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13561
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17972
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9476
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2763
102.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1034
38.3 IPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
371
495.1 IPS |
|
|
Text Classification (Q)
|
97% |
416
557.3 IPS |
|
|
Machine Translation (SP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (Q)
|
60% |
323
7.21 IPS |
