Acer Aspire A15-41M
Geekbench ML Score
4619
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 12:36 PM |
| Views | 3 |
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% |
2111
395.1 IPS |
|
|
Image Classification (F16)
|
100% |
2413
451.6 IPS |
|
|
Image Classification (I8)
|
100% |
2091
391.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2585
43.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2589
43.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2227
37.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
32427
39.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
31836
38.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
24365
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
1474
110.1 IPS |
|
|
Object Detection (F16)
|
100% |
1454
108.5 IPS |
|
|
Object Detection (I8)
|
62% |
1495
111.6 IPS |
|
|
Face Detection (F32)
|
100% |
4794
57.0 IPS |
|
|
Face Detection (F16)
|
100% |
4717
56.1 IPS |
|
|
Face Detection (I8)
|
89% |
3696
43.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
13616
105.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13174
102.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
10885
84.4 IPS |
|
|
Style Transfer (F32)
|
100% |
29980
39.4 IPS |
|
|
Style Transfer (F16)
|
100% |
29677
39.0 IPS |
|
|
Style Transfer (I8)
|
98% |
24878
32.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5322
190.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4713
168.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4287
153.1 IPS |
|
|
Text Classification (F32)
|
100% |
1479
2.13 KIPS |
|
|
Text Classification (F16)
|
100% |
1481
2.13 KIPS |
|
|
Text Classification (I8)
|
98% |
1202
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
2127
39.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2222
40.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1401
25.8 IPS |
