Acer Nitro ANV15-51
Geekbench AI Score
2452
Single Precision Score
1276
Half Precision Score
3267
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 04:27 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% |
1450
269.7 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.4 IPS |
|
|
Image Classification (Q)
|
99% |
2533
472.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2037
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4247
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3318
3.87 IPS |
|
|
Pose Estimation (Q)
|
95% |
14661
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
100% |
601
47.6 IPS |
|
|
Object Detection (Q)
|
88% |
1637
131.2 IPS |
|
|
Face Detection (SP)
|
100% |
2579
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
3432
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5019
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1949
15.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
6399
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10284
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8326
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
16704
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2080
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3251
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
612
817.5 IPS |
|
|
Text Classification (Q)
|
97% |
542
726.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1731
38.6 IPS |
