Acer Nitro AN16-41
Geekbench AI Score
3913
Single Precision Score
1734
Half Precision Score
8339
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ahofmann |
| Upload Date | January 09 2026 09:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro AN16-41 |
| Motherboard | PHX Sierra_PEH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3532
656.9 IPS |
|
|
Image Classification (HP)
|
100% |
666
123.9 IPS |
|
|
Image Classification (Q)
|
99% |
8411
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10051
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5704
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
4806
5.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
24082
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3000
238.0 IPS |
|
|
Object Detection (HP)
|
100% |
816
64.7 IPS |
|
|
Object Detection (Q)
|
86% |
8049
646.9 IPS |
|
|
Face Detection (SP)
|
100% |
6032
71.7 IPS |
|
|
Face Detection (HP)
|
100% |
1810
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
11229
133.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8563
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2617
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8311
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14313
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11857
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27898
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2545
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2196
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6463
239.3 IPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1783
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3308
66.5 IPS |
