Acer Aspire ASP14-52MTN
Geekbench AI Score
1687
Single Precision Score
922
Half Precision Score
2798
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | February 07 2025 11:51 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 115U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire ASP14-52MTN |
| Motherboard | MTL Merci2_MTU |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 115U |
| Topology | 1 Processor, 8 Cores, 10 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
953
177.2 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.8 IPS |
|
|
Image Classification (Q)
|
99% |
1847
344.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
2040
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2668
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2143
2.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
9769
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
88% |
1115
89.4 IPS |
|
|
Face Detection (SP)
|
100% |
2073
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
2651
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3201
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1375
10.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
4467
35.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6812
8.76 IPS |
|
|
Style Transfer (HP)
|
100% |
5339
6.86 IPS |
|
|
Style Transfer (Q)
|
98% |
11643
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2489
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
1142
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
492
656.2 IPS |
|
|
Text Classification (Q)
|
97% |
1377
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (Q)
|
60% |
1520
33.9 IPS |
