Acer Nitro AN16-41
Geekbench AI Score
8200
Single Precision Score
12136
Half Precision Score
5931
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ahofmann |
| Upload Date | January 09 2026 09:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| 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% |
3219
598.6 IPS |
|
|
Image Classification (HP)
|
100% |
4941
918.9 IPS |
|
|
Image Classification (Q)
|
100% |
2915
542.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4064
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4858
78.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3298
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
42866
50.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
76836
89.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
30046
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (HP)
|
100% |
3859
306.1 IPS |
|
|
Object Detection (Q)
|
87% |
2446
196.5 IPS |
|
|
Face Detection (SP)
|
100% |
6071
72.1 IPS |
|
|
Face Detection (HP)
|
100% |
11047
131.3 IPS |
|
|
Face Detection (Q)
|
97% |
5052
60.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17936
138.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
28610
220.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
13742
110.2 IPS |
|
|
Style Transfer (SP)
|
100% |
72520
93.2 IPS |
|
|
Style Transfer (HP)
|
100% |
114875
147.7 IPS |
|
|
Style Transfer (Q)
|
98% |
47894
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14722
543.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23876
881.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8579
317.7 IPS |
|
|
Text Classification (SP)
|
100% |
2366
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3128
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3296
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1608
30.2 IPS |
