Acer Aspire A515-58GM
Geekbench AI Score
2436
Single Precision Score
2661
Half Precision Score
6709
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | iClondike |
| Upload Date | December 09 2024 06:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
1749
325.2 IPS |
|
|
Image Classification (HP)
|
100% |
1817
337.9 IPS |
|
|
Image Classification (Q)
|
100% |
4394
817.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3692
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3662
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3621
4.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
11408
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (Q)
|
88% |
4288
343.7 IPS |
|
|
Face Detection (SP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
2899
34.4 IPS |
|
|
Face Detection (Q)
|
100% |
7744
92.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4516
34.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
4489
34.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
11437
90.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7705
9.90 IPS |
|
|
Style Transfer (HP)
|
100% |
8156
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31035
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1634
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6938
256.9 IPS |
|
|
Text Classification (SP)
|
100% |
1151
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
3353
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (Q)
|
85% |
3642
63.7 IPS |
