Acer Aspire A16-61M
Geekbench AI Score
3692
Single Precision Score
1999
Half Precision Score
8426
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mukuldev04 |
| Upload Date | October 23 2025 01:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Aspire A16-61M |
| Motherboard | KRK Venue_SKF |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2979
554.1 IPS |
|
|
Image Classification (HP)
|
100% |
690
128.4 IPS |
|
|
Image Classification (Q)
|
99% |
5077
947.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9473
154.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5935
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4928
5.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
22657
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
3101
246.0 IPS |
|
|
Object Detection (HP)
|
100% |
1051
83.4 IPS |
|
|
Object Detection (Q)
|
86% |
8016
644.2 IPS |
|
|
Face Detection (SP)
|
100% |
5142
61.1 IPS |
|
|
Face Detection (HP)
|
100% |
1828
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
10795
128.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8066
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2992
23.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17147
136.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14203
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12587
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26846
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2442
90.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5186
192.0 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1226
1.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2106
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3807
76.5 IPS |
