Acer Nitro ANV16S-71
Geekbench AI Score
19873
Single Precision Score
37260
Half Precision Score
15575
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | skikitt |
| Upload Date | September 26 2025 06:10 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Nitro ANV16S-71 |
| Motherboard | RPL BRZ_RTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 9 270H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7596
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
13851
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
7019
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15455
250.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23659
383.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14199
230.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
103256
120.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
338514
395.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
94605
110.8 IPS |
|
|
Object Detection (SP)
|
100% |
9805
777.7 IPS |
|
|
Object Detection (HP)
|
100% |
17803
1.41 KIPS |
|
|
Object Detection (Q)
|
83% |
8631
697.3 IPS |
|
|
Face Detection (SP)
|
100% |
26247
311.9 IPS |
|
|
Face Detection (HP)
|
100% |
43113
512.3 IPS |
|
|
Face Detection (Q)
|
97% |
23024
274.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
46887
361.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
101977
785.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
39340
314.0 IPS |
|
|
Style Transfer (SP)
|
100% |
146789
188.7 IPS |
|
|
Style Transfer (HP)
|
100% |
501877
645.2 IPS |
|
|
Style Transfer (Q)
|
98% |
131825
170.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27854
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53929
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21651
801.7 IPS |
|
|
Text Classification (SP)
|
100% |
3357
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4171
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2138
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4788
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5262
90.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1868
35.0 IPS |
