Acer Aspire A515-58GM
Geekbench AI Score
3012
Single Precision Score
3024
Half Precision Score
7302
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 09 2024 07:32 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% |
1886
350.7 IPS |
|
|
Image Classification (HP)
|
100% |
1875
348.7 IPS |
|
|
Image Classification (Q)
|
100% |
4591
853.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4053
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3766
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3753
4.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
13869
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1852
146.9 IPS |
|
|
Object Detection (HP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (Q)
|
88% |
4528
363.0 IPS |
|
|
Face Detection (SP)
|
100% |
3593
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
3480
41.3 IPS |
|
|
Face Detection (Q)
|
100% |
10554
125.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4986
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4878
37.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
12222
95.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10770
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10770
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
38086
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2232
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2220
82.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7666
283.9 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2191
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
3539
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2432
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2844
49.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2767
47.7 IPS |
