Acer Nitro AN16-41
Geekbench AI Score
2543
Single Precision Score
2546
Half Precision Score
1797
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | kaddea |
| Upload Date | July 31 2025 07:08 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Acer Nitro AN16-41 |
| Motherboard | PHX Sierra_PEH |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 38.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2000
371.9 IPS |
|
|
Image Classification (HP)
|
100% |
1979
368.0 IPS |
|
|
Image Classification (Q)
|
99% |
1435
267.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2778
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2782
45.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1215
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2797
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2796
3.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
3773
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
2097
166.3 IPS |
|
|
Object Detection (HP)
|
100% |
2101
166.7 IPS |
|
|
Object Detection (Q)
|
85% |
1239
99.7 IPS |
|
|
Face Detection (SP)
|
100% |
2797
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
2813
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
2776
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2871
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2887
22.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2219
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3113
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
3109
4.00 IPS |
|
|
Style Transfer (Q)
|
98% |
6284
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2000
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1772
65.7 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
921
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (Q)
|
58% |
683
16.0 IPS |
