Acer Aspire A515-58GM
Geekbench AI Score
2857
Single Precision Score
2844
Half Precision Score
6884
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 09 2024 07:41 PM |
| Views | 2 |
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% |
1878
349.2 IPS |
|
|
Image Classification (HP)
|
100% |
1895
352.5 IPS |
|
|
Image Classification (Q)
|
100% |
4664
867.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1983
32.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4047
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3763
4.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3744
4.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
13626
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1858
147.4 IPS |
|
|
Object Detection (HP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (Q)
|
88% |
4503
361.0 IPS |
|
|
Face Detection (SP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (Q)
|
100% |
6156
73.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4881
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4781
36.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
12092
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9344
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9407
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
36359
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2113
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2016
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7301
270.4 IPS |
|
|
Text Classification (SP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (Q)
|
92% |
3979
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2720
46.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2628
45.3 IPS |
