Acer Nitro ANV16-61
Geekbench AI Score
3106
Single Precision Score
1683
Half Precision Score
7942
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 02:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro ANV16-61 |
| Motherboard | KRK RX_SKF |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2492
463.4 IPS |
|
|
Image Classification (HP)
|
100% |
688
127.9 IPS |
|
|
Image Classification (Q)
|
99% |
7449
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1083
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8629
140.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4522
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
4101
4.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
20108
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
2408
191.0 IPS |
|
|
Object Detection (HP)
|
100% |
807
64.0 IPS |
|
|
Object Detection (Q)
|
86% |
7037
565.6 IPS |
|
|
Face Detection (SP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
1610
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
9061
108.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6390
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2420
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
14873
118.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11411
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10807
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24436
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2113
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4968
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1045
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2054
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2267
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3269
65.7 IPS |
