Acer Nitro AN16-41
Geekbench AI Score
20459
Single Precision Score
32867
Half Precision Score
15997
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ahofmann |
| Upload Date | January 09 2026 09:58 PM |
| Views | 4 |
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% |
8043
1.50 KIPS |
|
|
Image Classification (HP)
|
99% |
12398
2.31 KIPS |
|
|
Image Classification (Q)
|
100% |
7298
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15146
245.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20357
330.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13247
215.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
121114
141.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
317755
370.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
106059
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
9770
775.0 IPS |
|
|
Object Detection (HP)
|
100% |
16303
1.29 KIPS |
|
|
Object Detection (Q)
|
85% |
8630
694.7 IPS |
|
|
Face Detection (SP)
|
100% |
24259
288.3 IPS |
|
|
Face Detection (HP)
|
100% |
38466
457.1 IPS |
|
|
Face Detection (Q)
|
97% |
21476
256.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
49909
384.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
89876
692.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
39848
318.5 IPS |
|
|
Style Transfer (SP)
|
100% |
184915
237.7 IPS |
|
|
Style Transfer (HP)
|
100% |
442599
569.0 IPS |
|
|
Style Transfer (Q)
|
98% |
165645
213.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34913
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49801
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25197
933.0 IPS |
|
|
Text Classification (SP)
|
100% |
2704
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1781
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4219
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4541
78.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1950
36.6 IPS |
