Acer Aspire A715-59G
Geekbench AI Score
8966
Single Precision Score
16131
Half Precision Score
6247
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 10:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A715-59G |
| Motherboard | Kelilu_RTH RTH |
| Power Plan | Balanced |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3720
691.8 IPS |
|
|
Image Classification (HP)
|
99% |
6541
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
3016
562.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5447
88.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8708
141.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4479
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
41619
48.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
140004
163.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
33624
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
4488
356.0 IPS |
|
|
Object Detection (HP)
|
100% |
7827
620.9 IPS |
|
|
Object Detection (Q)
|
84% |
3832
309.1 IPS |
|
|
Face Detection (SP)
|
100% |
8882
105.5 IPS |
|
|
Face Detection (HP)
|
100% |
14156
168.2 IPS |
|
|
Face Detection (Q)
|
97% |
7100
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21562
166.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44149
341.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
15707
125.9 IPS |
|
|
Style Transfer (SP)
|
100% |
71390
91.8 IPS |
|
|
Style Transfer (HP)
|
100% |
185266
238.2 IPS |
|
|
Style Transfer (Q)
|
98% |
56064
72.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13173
486.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23671
874.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7888
292.1 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
2812
3.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1050
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2188
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1005
18.9 IPS |
