Acer Nitro ANV15-52
Geekbench AI Score
2005
Single Precision Score
2050
Half Precision Score
1309
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Dorazo |
| Upload Date | November 29 2025 06:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
873
162.4 IPS |
|
|
Image Classification (HP)
|
100% |
889
165.3 IPS |
|
|
Image Classification (Q)
|
100% |
732
136.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1417
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
891
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6157
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
7265
8.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
3967
4.65 IPS |
|
|
Object Detection (SP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (HP)
|
98% |
855
68.0 IPS |
|
|
Object Detection (Q)
|
86% |
832
66.9 IPS |
|
|
Face Detection (SP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
2206
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
1339
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3701
28.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4200
32.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2702
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13777
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18813
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9428
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2970
109.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1085
40.2 IPS |
|
|
Text Classification (SP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
418
558.2 IPS |
|
|
Text Classification (Q)
|
97% |
447
598.9 IPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.4 IPS |
|
|
Machine Translation (Q)
|
70% |
415
7.79 IPS |
