Acer Nitro AN515-45
Geekbench ML Score
2419
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | April 04 2025 04:23 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro AN515-45 |
| Motherboard | CZ Scala_CAS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
903
169.1 IPS |
|
|
Image Classification (F16)
|
100% |
911
170.5 IPS |
|
|
Image Classification (I8)
|
100% |
791
148.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1228
20.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1231
20.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1050
17.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
12451
15.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
12392
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
9910
12.0 IPS |
|
|
Object Detection (F32)
|
100% |
905
67.6 IPS |
|
|
Object Detection (F16)
|
100% |
921
68.7 IPS |
|
|
Object Detection (I8)
|
64% |
842
62.9 IPS |
|
|
Face Detection (F32)
|
100% |
1791
21.3 IPS |
|
|
Face Detection (F16)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (I8)
|
89% |
1472
17.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4961
38.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
4974
38.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
4089
31.7 IPS |
|
|
Style Transfer (F32)
|
100% |
20455
26.9 IPS |
|
|
Style Transfer (F16)
|
100% |
20343
26.8 IPS |
|
|
Style Transfer (I8)
|
98% |
15417
20.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4620
165.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4622
165.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3051
109.0 IPS |
|
|
Text Classification (F32)
|
100% |
1039
1.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1032
1.48 KIPS |
|
|
Text Classification (I8)
|
98% |
683
981.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1515
27.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1663
30.6 IPS |
|
|
Machine Translation (I8)
|
69% |
789
14.5 IPS |
