Acer Nitro ANV15-51
Geekbench AI Score
2452
Single Precision Score
1260
Half Precision Score
3270
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 04:24 AM |
| Views | 1 |
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 | Equilibrado |
| 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% |
1512
281.3 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (Q)
|
99% |
2576
480.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
842
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2058
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4315
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3336
3.89 IPS |
|
|
Pose Estimation (Q)
|
95% |
14441
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
100% |
573
45.4 IPS |
|
|
Object Detection (Q)
|
88% |
1621
129.9 IPS |
|
|
Face Detection (SP)
|
100% |
2609
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
3450
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4910
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1871
14.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
6084
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9761
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8235
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16320
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1648
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3232
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
638
851.3 IPS |
|
|
Text Classification (Q)
|
97% |
576
771.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1626
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
605
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1770
39.5 IPS |
