Acer Nitro ANV15-52
Geekbench AI Score
2534
Single Precision Score
1256
Half Precision Score
5087
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Dorazo |
| Upload Date | November 29 2025 06:43 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 | Wysoka wydajno |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.7 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.7 IPS |
|
|
Image Classification (Q)
|
99% |
4346
810.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5988
97.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4262
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3304
3.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
12276
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.0 IPS |
|
|
Object Detection (HP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (Q)
|
86% |
4101
329.6 IPS |
|
|
Face Detection (SP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
5588
66.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5059
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1646
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9550
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9248
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7880
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
12402
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1742
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4094
151.6 IPS |
|
|
Text Classification (SP)
|
100% |
1387
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
782
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1445
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1474
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
701
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2263
45.5 IPS |
