Acer Aspire A715-75G
Geekbench AI Score
1327
Single Precision Score
669
Half Precision Score
1861
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 06:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9300H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A715-75G |
| Motherboard | CFL Azalea_FMS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
946
176.0 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
96% |
1429
266.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
97% |
1137
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1786
2.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
1540
1.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
3233
3.82 IPS |
|
|
Object Detection (SP)
|
100% |
898
71.3 IPS |
|
|
Object Detection (HP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (Q)
|
58% |
1106
120.8 IPS |
|
|
Face Detection (SP)
|
100% |
2181
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
715
8.49 IPS |
|
|
Face Detection (Q)
|
96% |
2990
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2376
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
900
6.93 IPS |
|
|
Depth Estimation (Q)
|
78% |
3247
25.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4476
5.75 IPS |
|
|
Style Transfer (HP)
|
100% |
3519
4.52 IPS |
|
|
Style Transfer (Q)
|
87% |
6277
8.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
738
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1263
46.8 IPS |
|
|
Text Classification (SP)
|
100% |
704
939.0 IPS |
|
|
Text Classification (HP)
|
100% |
451
601.3 IPS |
|
|
Text Classification (Q)
|
97% |
846
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.15 IPS |
|
|
Machine Translation (Q)
|
68% |
1320
25.5 IPS |
