Acer Nitro ANV15-52
Geekbench AI Score
14074
Single Precision Score
24899
Half Precision Score
10914
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Dorazo |
| Upload Date | November 29 2025 04:48 PM |
| Views | 9 |
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 | 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% |
6203
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10680
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
5984
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8945
145.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11607
188.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8269
134.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
71903
83.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
226121
263.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
65134
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
7450
590.9 IPS |
|
|
Object Detection (HP)
|
100% |
12484
990.3 IPS |
|
|
Object Detection (Q)
|
87% |
5269
422.8 IPS |
|
|
Face Detection (SP)
|
100% |
17626
209.4 IPS |
|
|
Face Detection (HP)
|
100% |
25043
297.6 IPS |
|
|
Face Detection (Q)
|
97% |
13729
163.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
36415
280.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74697
575.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
28331
226.5 IPS |
|
|
Style Transfer (SP)
|
100% |
107471
138.2 IPS |
|
|
Style Transfer (HP)
|
100% |
364872
469.0 IPS |
|
|
Style Transfer (Q)
|
98% |
91988
118.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19689
727.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38782
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17065
631.9 IPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4117
5.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1907
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2216
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2402
41.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1213
22.7 IPS |
