Acer Nitro ANV15-52
Geekbench AI Score
2549
Single Precision Score
1289
Half Precision Score
5364
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | gsidedgdb |
| Upload Date | August 19 2025 04:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro ANV15-52 |
| Motherboard | RPL Sportage_RTH |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1952
363.1 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.0 IPS |
|
|
Image Classification (Q)
|
99% |
4157
775.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5639
91.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3956
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3124
3.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
14064
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1883
149.4 IPS |
|
|
Object Detection (HP)
|
100% |
617
49.0 IPS |
|
|
Object Detection (Q)
|
86% |
4292
344.9 IPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
1243
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
6869
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5249
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1893
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10225
81.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9380
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7993
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13381
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1872
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4201
155.6 IPS |
|
|
Text Classification (SP)
|
100% |
1494
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1563
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2261
45.4 IPS |
