Acer Aspire A15-41M
Geekbench AI Score
4062
Single Precision Score
1763
Half Precision Score
7558
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 11:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Acer Aspire A15-41M |
| Motherboard | HWK Kinder_HKU |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3561
662.2 IPS |
|
|
Image Classification (HP)
|
100% |
684
127.2 IPS |
|
|
Image Classification (Q)
|
99% |
8037
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9677
157.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7074
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
5750
6.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
24337
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
3085
244.7 IPS |
|
|
Object Detection (HP)
|
100% |
842
66.8 IPS |
|
|
Object Detection (Q)
|
86% |
7611
611.7 IPS |
|
|
Face Detection (SP)
|
100% |
5115
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
1732
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
9546
113.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9369
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2653
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7341
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16208
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14344
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23305
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2553
94.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2340
86.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6276
232.4 IPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
704
939.5 IPS |
|
|
Text Classification (Q)
|
97% |
1351
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3051
61.3 IPS |
