Acer Aspire A15-41M
Geekbench ML Score
4546
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 12:46 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire A15-41M |
| Motherboard | HWK Kinder_HKU |
| Power Plan | Balanced |
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2129
398.4 IPS |
|
|
Image Classification (F16)
|
100% |
2072
387.7 IPS |
|
|
Image Classification (I8)
|
100% |
1886
353.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2653
44.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2689
44.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2271
37.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
32498
39.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
31538
38.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
25014
30.3 IPS |
|
|
Object Detection (F32)
|
100% |
1526
113.9 IPS |
|
|
Object Detection (F16)
|
100% |
1463
109.2 IPS |
|
|
Object Detection (I8)
|
62% |
1452
108.4 IPS |
|
|
Face Detection (F32)
|
100% |
4690
55.8 IPS |
|
|
Face Detection (F16)
|
100% |
4658
55.4 IPS |
|
|
Face Detection (I8)
|
89% |
3654
43.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
13502
104.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13225
102.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
10579
82.0 IPS |
|
|
Style Transfer (F32)
|
100% |
29841
39.3 IPS |
|
|
Style Transfer (F16)
|
100% |
29300
38.5 IPS |
|
|
Style Transfer (I8)
|
98% |
25474
33.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4526
161.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5073
181.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4420
157.8 IPS |
|
|
Text Classification (F32)
|
100% |
1460
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1460
2.10 KIPS |
|
|
Text Classification (I8)
|
98% |
1172
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2030
37.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1944
35.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1426
26.2 IPS |
