Acer Nitro AN515-42
Geekbench ML Score
2957
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 12 2024 06:53 PM |
| Views | 4 |
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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 560X Series |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1205
225.6 IPS |
|
|
Image Classification (F16)
|
100% |
1216
227.6 IPS |
|
|
Image Classification (I8)
|
100% |
1026
192.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1466
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1467
24.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1276
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23630
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
23940
29.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
18396
22.3 IPS |
|
|
Object Detection (F32)
|
100% |
974
72.7 IPS |
|
|
Object Detection (F16)
|
100% |
989
73.9 IPS |
|
|
Object Detection (I8)
|
71% |
896
66.9 IPS |
|
|
Face Detection (F32)
|
100% |
3424
40.7 IPS |
|
|
Face Detection (F16)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (I8)
|
90% |
2742
32.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
8432
65.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8813
68.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
7023
54.5 IPS |
|
|
Style Transfer (F32)
|
100% |
33355
43.9 IPS |
|
|
Style Transfer (F16)
|
100% |
33163
43.6 IPS |
|
|
Style Transfer (I8)
|
98% |
26004
34.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4703
168.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4918
175.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3377
120.6 IPS |
|
|
Text Classification (F32)
|
100% |
700
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
709
1.02 KIPS |
|
|
Text Classification (I8)
|
98% |
423
607.8 IPS |
|
|
Machine Translation (F32)
|
100% |
883
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
914
16.8 IPS |
|
|
Machine Translation (I8)
|
69% |
573
10.5 IPS |
