Acer Nitro ANV16S-71
Geekbench AI Score
3554
Single Precision Score
1438
Half Precision Score
6250
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | skikitt |
| Upload Date | September 26 2025 06:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 9 270H |
| 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% |
2758
512.8 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.8 IPS |
|
|
Image Classification (Q)
|
99% |
4695
875.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6334
103.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5891
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3937
4.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
19157
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.7 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
86% |
5375
431.9 IPS |
|
|
Face Detection (SP)
|
100% |
7532
89.5 IPS |
|
|
Face Detection (HP)
|
100% |
1580
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
5997
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7460
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2053
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13329
106.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14114
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9579
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20958
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2511
92.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4767
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
719
960.0 IPS |
|
|
Text Classification (Q)
|
97% |
1466
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1821
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2539
51.0 IPS |
