Acer Nitro ANV16-71
Geekbench AI Score
4223
Single Precision Score
4141
Half Precision Score
9465
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 12:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-14450HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Nitro ANV16-71 |
| Motherboard | RPL RZ_RTX |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i5-14450HX |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2848
529.7 IPS |
|
|
Image Classification (HP)
|
100% |
2731
507.9 IPS |
|
|
Image Classification (Q)
|
100% |
6427
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3208
52.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5740
93.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5283
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
5281
6.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
18909
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
2454
194.7 IPS |
|
|
Object Detection (Q)
|
88% |
6477
519.2 IPS |
|
|
Face Detection (SP)
|
100% |
4391
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
4306
51.2 IPS |
|
|
Face Detection (Q)
|
100% |
14619
173.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6885
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7039
54.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
17495
136.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15932
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15811
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29918
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3272
120.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3285
121.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10726
397.2 IPS |
|
|
Text Classification (SP)
|
100% |
2705
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (Q)
|
92% |
4252
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3663
63.1 IPS |
