Acer Aspire A16-61M
Geekbench AI Score
6932
Single Precision Score
10631
Half Precision Score
5493
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mukuldev04 |
| Upload Date | October 23 2025 01:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 860M Graphics |
| 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% |
1863
346.6 IPS |
|
|
Image Classification (HP)
|
100% |
3789
704.6 IPS |
|
|
Image Classification (Q)
|
100% |
2334
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4136
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3990
64.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3334
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33270
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
61979
72.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
27260
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2080
165.0 IPS |
|
|
Object Detection (HP)
|
100% |
3108
246.6 IPS |
|
|
Object Detection (Q)
|
87% |
1753
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
5862
69.7 IPS |
|
|
Face Detection (HP)
|
100% |
10155
120.7 IPS |
|
|
Face Detection (Q)
|
97% |
5322
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15975
123.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23372
180.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
13008
104.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51618
66.4 IPS |
|
|
Style Transfer (HP)
|
100% |
98397
126.5 IPS |
|
|
Style Transfer (Q)
|
98% |
44453
57.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11479
423.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19378
715.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7989
295.8 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1644
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3752
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4011
69.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1666
31.3 IPS |
