Acer Nitro AN515-42
Geekbench ML Score
2663
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 06:26 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | Acer Nitro AN515-42 |
| Motherboard | RR Freed_RRS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 560X Series |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1150
215.3 IPS |
|
|
Image Classification (F16)
|
100% |
1135
212.4 IPS |
|
|
Image Classification (I8)
|
100% |
953
178.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1217
20.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1216
20.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1083
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
22890
27.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
22867
27.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
17887
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
908
67.8 IPS |
|
|
Object Detection (F16)
|
100% |
914
68.2 IPS |
|
|
Object Detection (I8)
|
71% |
827
61.7 IPS |
|
|
Face Detection (F32)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (F16)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (I8)
|
90% |
2435
28.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
8141
63.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
8210
63.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
6262
48.6 IPS |
|
|
Style Transfer (F32)
|
100% |
32237
42.4 IPS |
|
|
Style Transfer (F16)
|
100% |
32074
42.2 IPS |
|
|
Style Transfer (I8)
|
98% |
25391
33.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4691
167.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4581
163.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3225
115.2 IPS |
|
|
Text Classification (F32)
|
100% |
636
913.5 IPS |
|
|
Text Classification (F16)
|
100% |
632
908.7 IPS |
|
|
Text Classification (I8)
|
98% |
397
571.3 IPS |
|
|
Machine Translation (F32)
|
100% |
617
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
623
11.5 IPS |
|
|
Machine Translation (I8)
|
69% |
435
8.01 IPS |
