Acer Nitro ANV16-71
Geekbench AI Score
15214
Single Precision Score
26553
Half Precision Score
11712
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 10:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
6004
1.12 KIPS |
|
|
Image Classification (HP)
|
99% |
11066
2.06 KIPS |
|
|
Image Classification (Q)
|
99% |
5143
959.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10685
173.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14707
238.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9686
157.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
71256
83.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
226148
263.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
62949
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
7667
608.1 IPS |
|
|
Object Detection (HP)
|
100% |
13617
1.08 KIPS |
|
|
Object Detection (Q)
|
84% |
6869
554.0 IPS |
|
|
Face Detection (SP)
|
100% |
17304
205.6 IPS |
|
|
Face Detection (HP)
|
100% |
30643
364.1 IPS |
|
|
Face Detection (Q)
|
97% |
14950
178.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
30639
236.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
63551
489.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
27049
216.9 IPS |
|
|
Style Transfer (SP)
|
100% |
121578
156.3 IPS |
|
|
Style Transfer (HP)
|
100% |
297724
382.7 IPS |
|
|
Style Transfer (Q)
|
98% |
108882
140.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25276
933.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41173
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17672
654.4 IPS |
|
|
Text Classification (SP)
|
100% |
3341
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1799
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3683
63.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1611
30.2 IPS |
