Acer Aspire AG14-71M
Geekbench AI Score
2427
Single Precision Score
2449
Half Precision Score
6086
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 07:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| 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% |
1232
229.2 IPS |
|
|
Image Classification (HP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (Q)
|
100% |
4322
803.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4190
67.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3446
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3238
3.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
11670
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (HP)
|
100% |
1318
104.6 IPS |
|
|
Object Detection (Q)
|
88% |
3401
272.6 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
8004
95.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3519
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3530
27.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
9607
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9239
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9560
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32940
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6273
232.3 IPS |
|
|
Text Classification (SP)
|
100% |
1557
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
2832
3.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2133
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1983
34.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2157
37.2 IPS |
