Acer Nitro ANV15-51
Geekbench AI Score
2554
Single Precision Score
1247
Half Precision Score
3988
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 08:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2025
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
478
88.8 IPS |
|
|
Image Classification (Q)
|
99% |
3985
743.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1965
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3945
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3131
3.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
14134
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1905
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (Q)
|
86% |
3580
287.7 IPS |
|
|
Face Detection (SP)
|
100% |
3832
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
1309
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
6089
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5550
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1809
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10152
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9354
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7893
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14420
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1639
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3119
115.5 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
701
935.5 IPS |
|
|
Text Classification (Q)
|
97% |
497
665.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1429
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
1859
37.4 IPS |
