Acer Nitro ANV15-52
Geekbench AI Score
2244
Single Precision Score
1165
Half Precision Score
4917
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Dorazo |
| Upload Date | November 29 2025 04:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Nitro ANV15-52 |
| Motherboard | RPL Sportage_RTH |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1738
323.3 IPS |
|
|
Image Classification (HP)
|
100% |
441
82.0 IPS |
|
|
Image Classification (Q)
|
99% |
3963
739.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
689
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5218
84.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3737
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2962
3.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
14046
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1853
146.9 IPS |
|
|
Object Detection (HP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (Q)
|
86% |
3933
316.1 IPS |
|
|
Face Detection (SP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
6023
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4874
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1738
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9209
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8477
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7495
9.64 IPS |
|
|
Style Transfer (Q)
|
98% |
9884
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1601
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4329
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
1479
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
730
974.2 IPS |
|
|
Text Classification (Q)
|
97% |
1508
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2021
40.6 IPS |
