Acer Nitro AN16-41
Geekbench AI Score
2492
Single Precision Score
2495
Half Precision Score
1765
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | kaddea |
| Upload Date | July 30 2025 03:56 PM |
| Views | 8 |
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% |
1971
366.6 IPS |
|
|
Image Classification (HP)
|
100% |
1988
369.8 IPS |
|
|
Image Classification (Q)
|
99% |
1424
265.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2728
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2741
44.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1207
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2753
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2744
3.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
3698
4.33 IPS |
|
|
Object Detection (SP)
|
100% |
2034
161.4 IPS |
|
|
Object Detection (HP)
|
100% |
2071
164.3 IPS |
|
|
Object Detection (Q)
|
85% |
1223
98.5 IPS |
|
|
Face Detection (SP)
|
100% |
2763
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
2747
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
2679
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2794
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2815
21.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2201
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3040
3.91 IPS |
|
|
Style Transfer (HP)
|
100% |
3078
3.96 IPS |
|
|
Style Transfer (Q)
|
98% |
6155
7.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1938
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1747
64.7 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2195
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
910
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3038
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2985
51.4 IPS |
|
|
Machine Translation (Q)
|
58% |
657
15.4 IPS |
