Acer Nitro AN16-41
Geekbench AI Score
5957
Single Precision Score
5902
Half Precision Score
17172
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ahofmann |
| Upload Date | January 09 2026 09:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS w/ Radeon 780M Graphics |
| 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% |
4050
753.1 IPS |
|
|
Image Classification (HP)
|
100% |
4027
748.9 IPS |
|
|
Image Classification (Q)
|
100% |
11499
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4170
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4269
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12628
204.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7741
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
7572
8.84 IPS |
|
|
Pose Estimation (Q)
|
98% |
30970
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
3333
264.4 IPS |
|
|
Object Detection (HP)
|
100% |
2785
220.9 IPS |
|
|
Object Detection (Q)
|
88% |
11409
914.6 IPS |
|
|
Face Detection (SP)
|
100% |
6998
83.1 IPS |
|
|
Face Detection (HP)
|
100% |
7092
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
25399
301.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9031
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9492
73.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
28637
222.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20905
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21325
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
82854
106.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4712
174.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4716
174.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16088
595.8 IPS |
|
|
Text Classification (SP)
|
100% |
3883
5.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3861
5.15 KIPS |
|
|
Text Classification (Q)
|
92% |
5742
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5344
92.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5415
93.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7809
134.5 IPS |
