Acer Nitro AN16-41
Geekbench AI Score
19790
Single Precision Score
32845
Half Precision Score
15507
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ahofmann |
| Upload Date | January 09 2026 09:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| 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% |
8038
1.49 KIPS |
|
|
Image Classification (HP)
|
99% |
12484
2.33 KIPS |
|
|
Image Classification (Q)
|
100% |
7322
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14901
241.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20372
330.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13399
217.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
101711
118.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
292319
341.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
87921
103.0 IPS |
|
|
Object Detection (SP)
|
100% |
9721
771.0 IPS |
|
|
Object Detection (HP)
|
100% |
16365
1.30 KIPS |
|
|
Object Detection (Q)
|
85% |
8439
679.4 IPS |
|
|
Face Detection (SP)
|
100% |
23731
282.0 IPS |
|
|
Face Detection (HP)
|
100% |
38491
457.4 IPS |
|
|
Face Detection (Q)
|
97% |
20913
249.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
48104
370.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
89344
688.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
38872
310.7 IPS |
|
|
Style Transfer (SP)
|
100% |
173880
223.5 IPS |
|
|
Style Transfer (HP)
|
100% |
441486
567.5 IPS |
|
|
Style Transfer (Q)
|
98% |
158934
204.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34464
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49993
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24980
925.0 IPS |
|
|
Text Classification (SP)
|
100% |
2847
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1815
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3995
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4558
78.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1886
35.4 IPS |
