Acer Nitro 64gb Acer Nitro ANV15-51
Geekbench AI Score
2795
Single Precision Score
1391
Half Precision Score
5854
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | son0fdavid |
| Upload Date | July 17 2025 04:46 AM |
| Views | 9 |
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 ANV15-51 |
| Motherboard | RPL Sportage_RTH |
| Power Plan | Acer |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.5 IPS |
|
|
Image Classification (Q)
|
99% |
4237
790.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
922
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5965
97.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3997
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3260
3.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
14632
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.2 IPS |
|
|
Object Detection (HP)
|
100% |
660
52.4 IPS |
|
|
Object Detection (Q)
|
86% |
4472
359.4 IPS |
|
|
Face Detection (SP)
|
100% |
4818
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
7720
92.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5525
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2036
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11572
92.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10179
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8047
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18279
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1683
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4448
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
1594
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
768
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1564
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2519
50.6 IPS |
