Acer Aspire A715-75G
Geekbench AI Score
336
Single Precision Score
372
Half Precision Score
558
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | FrankenStryker |
| Upload Date | August 28 2025 09:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A715-75G |
| Motherboard | CFL Azalea_FMS |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.7 IPS |
|
|
Image Classification (Q)
|
100% |
314
58.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
528
8.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
364
5.92 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
1.94 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
2.99 IPS |
|
|
Pose Estimation (Q)
|
97% |
1503
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (HP)
|
98% |
370
29.4 IPS |
|
|
Object Detection (Q)
|
86% |
306
24.6 IPS |
|
|
Face Detection (SP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (HP)
|
100% |
805
9.57 IPS |
|
|
Face Detection (Q)
|
97% |
593
7.07 IPS |
|
|
Depth Estimation (SP)
|
100% |
1282
9.88 IPS |
|
|
Depth Estimation (HP)
|
98% |
1601
12.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1064
8.51 IPS |
|
|
Style Transfer (SP)
|
100% |
4254
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
6579
8.46 IPS |
|
|
Style Transfer (Q)
|
98% |
3646
4.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
860
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1225
45.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
661
24.5 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.0 IPS |
|
|
Text Classification (HP)
|
100% |
233
310.8 IPS |
|
|
Text Classification (Q)
|
97% |
196
263.1 IPS |
|
|
Machine Translation (SP)
|
100% |
320
5.52 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
70% |
190
3.57 IPS |
