Acer Aspire A515-58GM
Geekbench AI Score
2745
Single Precision Score
3903
Half Precision Score
6246
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 09 2024 07:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1651
307.0 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (Q)
|
99% |
3938
734.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3850
62.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5301
85.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5382
6.28 IPS |
|
|
Pose Estimation (HP)
|
99% |
3952
4.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
16817
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
99% |
2349
186.3 IPS |
|
|
Object Detection (Q)
|
90% |
3793
303.3 IPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7024
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
11078
131.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5532
42.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9522
73.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
13098
101.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13800
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23453
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37509
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2359
87.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7377
273.2 IPS |
|
|
Text Classification (SP)
|
71% |
1036
1.50 KIPS |
|
|
Text Classification (HP)
|
71% |
1252
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
1287
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1320
22.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1314
22.6 IPS |
