Acer Nitro ANV15-52
Geekbench AI Score
15085
Single Precision Score
27318
Half Precision Score
12242
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Dorazo |
| Upload Date | November 29 2025 06:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Laptop GPU |
| 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% |
6388
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
10602
1.97 KIPS |
|
|
Image Classification (Q)
|
99% |
5911
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9182
148.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12635
204.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8742
142.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
73699
86.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
234275
273.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
66694
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
7930
629.0 IPS |
|
|
Object Detection (HP)
|
100% |
13243
1.05 KIPS |
|
|
Object Detection (Q)
|
87% |
7200
577.8 IPS |
|
|
Face Detection (SP)
|
100% |
19761
234.8 IPS |
|
|
Face Detection (HP)
|
100% |
29642
352.2 IPS |
|
|
Face Detection (Q)
|
97% |
17360
207.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
37120
286.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83413
642.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
32089
256.6 IPS |
|
|
Style Transfer (SP)
|
100% |
114358
147.0 IPS |
|
|
Style Transfer (HP)
|
100% |
387566
498.2 IPS |
|
|
Style Transfer (Q)
|
98% |
98174
126.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21023
776.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41083
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17370
643.2 IPS |
|
|
Text Classification (SP)
|
100% |
3459
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4269
5.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2126
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2919
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1509
28.3 IPS |
