Acer Aspire AV15-51
Geekbench AI Score
3344
Single Precision Score
5185
Half Precision Score
8375
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 04:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire AV15-51 |
| Motherboard | TGL Jade_TL |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1195G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1956
363.7 IPS |
|
|
Image Classification (HP)
|
100% |
3328
619.0 IPS |
|
|
Image Classification (Q)
|
99% |
5074
946.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2787
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5308
86.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7762
125.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8892
10.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
7407
8.64 IPS |
|
|
Pose Estimation (Q)
|
97% |
28339
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
3391
269.0 IPS |
|
|
Object Detection (Q)
|
90% |
5674
453.6 IPS |
|
|
Face Detection (SP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7833
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
13845
164.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7559
58.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12904
99.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
18521
144.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18570
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28929
37.2 IPS |
|
|
Style Transfer (Q)
|
98% |
57729
74.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3048
112.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5323
196.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9785
362.4 IPS |
|
|
Text Classification (SP)
|
71% |
987
1.43 KIPS |
|
|
Text Classification (HP)
|
71% |
1140
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
1101
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1786
30.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1681
29.0 IPS |
