Acer Aspire A715-75G
Geekbench AI Score
688
Single Precision Score
401
Half Precision Score
905
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | arunkirada |
| Upload Date | May 02 2025 06:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10300H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A715-75G |
| Motherboard | CML Azalea_FMS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.6 IPS |
|
|
Image Classification (Q)
|
96% |
723
135.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
783
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1197
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
898
1.05 IPS |
|
|
Pose Estimation (Q)
|
86% |
1537
1.82 IPS |
|
|
Object Detection (SP)
|
100% |
530
42.0 IPS |
|
|
Object Detection (HP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (Q)
|
58% |
422
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
829
9.85 IPS |
|
|
Face Detection (HP)
|
100% |
428
5.08 IPS |
|
|
Face Detection (Q)
|
96% |
1476
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1370
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
575
4.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
1914
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2321
2.98 IPS |
|
|
Style Transfer (HP)
|
100% |
2082
2.68 IPS |
|
|
Style Transfer (Q)
|
87% |
3291
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
418
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
534
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.8 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.1 IPS |
|
|
Text Classification (Q)
|
97% |
351
470.6 IPS |
|
|
Machine Translation (SP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.59 IPS |
|
|
Machine Translation (Q)
|
68% |
579
11.2 IPS |
