Acer Aspire A715-42G
Geekbench AI Score
5883
Single Precision Score
4605
Half Precision Score
4485
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 05:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A715-42G |
| Motherboard | LN Azalea_CAS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2435
452.9 IPS |
|
|
Image Classification (HP)
|
100% |
2133
396.7 IPS |
|
|
Image Classification (Q)
|
99% |
1948
363.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4081
66.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3346
54.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3518
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22709
26.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14916
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
20309
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
2859
226.8 IPS |
|
|
Object Detection (HP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (Q)
|
83% |
2483
200.6 IPS |
|
|
Face Detection (SP)
|
100% |
6791
80.7 IPS |
|
|
Face Detection (HP)
|
100% |
5512
65.5 IPS |
|
|
Face Detection (Q)
|
97% |
5963
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14030
108.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10669
82.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11119
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
41772
53.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28792
37.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36693
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7971
294.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6434
237.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5833
216.0 IPS |
|
|
Text Classification (SP)
|
100% |
1397
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
739
989.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1737
29.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1773
30.6 IPS |
|
|
Machine Translation (Q)
|
70% |
909
17.0 IPS |
