Acer Aspire A515-56G
Geekbench AI Score
2339
Single Precision Score
2559
Half Precision Score
1724
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 10:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Aspire A515-56G |
| Motherboard | TGL Iris_TL |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
543
100.9 IPS |
|
|
Image Classification (HP)
|
100% |
1041
193.6 IPS |
|
|
Image Classification (Q)
|
99% |
504
94.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1195
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10651
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7630
8.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
8897
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
776
61.6 IPS |
|
|
Object Detection (HP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (Q)
|
83% |
702
56.7 IPS |
|
|
Face Detection (SP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (Q)
|
97% |
1363
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4867
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5097
39.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
3927
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22321
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14352
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18259
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4025
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3706
136.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2681
99.3 IPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
434
581.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1230
21.3 IPS |
|
|
Machine Translation (Q)
|
70% |
543
10.2 IPS |
