Acer Aspire AG14-71M
Geekbench AI Score
2629
Single Precision Score
7160
Half Precision Score
10865
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 07:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire AG14-71M |
| Motherboard | Acer Aspire AG14-71M |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1217
226.3 IPS |
|
|
Image Classification (HP)
|
100% |
5440
1.01 KIPS |
|
|
Image Classification (Q)
|
56% |
5317
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2356
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3433
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3602
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
28250
33.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61401
71.9 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
100% |
4488
356.0 IPS |
|
|
Object Detection (Q)
|
87% |
7994
641.6 IPS |
|
|
Face Detection (SP)
|
100% |
3951
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
10506
124.8 IPS |
|
|
Face Detection (Q)
|
100% |
19604
232.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4525
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10530
81.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
21880
170.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9849
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33437
43.0 IPS |
|
|
Style Transfer (Q)
|
98% |
62523
80.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1897
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11065
408.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18607
689.1 IPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
1633
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2350
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3141
54.1 IPS |
