Acer Nitro AN515-45
Geekbench ML Score
2498
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | April 04 2025 04:21 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1429
267.4 IPS |
|
|
Image Classification (F16)
|
100% |
1192
223.0 IPS |
|
|
Image Classification (I8)
|
97% |
2539
475.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1197
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1169
19.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
2192
36.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4380
5.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
4016
4.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
9777
11.8 IPS |
|
|
Object Detection (F32)
|
100% |
1469
109.6 IPS |
|
|
Object Detection (F16)
|
100% |
1489
111.1 IPS |
|
|
Object Detection (I8)
|
60% |
1397
104.3 IPS |
|
|
Face Detection (F32)
|
100% |
1447
17.2 IPS |
|
|
Face Detection (F16)
|
100% |
1412
16.8 IPS |
|
|
Face Detection (I8)
|
87% |
2926
34.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4204
32.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4985
38.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
8509
66.0 IPS |
|
|
Style Transfer (F32)
|
100% |
10941
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11034
14.5 IPS |
|
|
Style Transfer (I8)
|
85% |
10404
13.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2065
73.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2135
76.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2607
93.1 IPS |
|
|
Text Classification (F32)
|
100% |
1222
1.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1494
2.15 KIPS |
|
|
Text Classification (I8)
|
94% |
1138
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
1478
27.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1400
25.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1852
34.1 IPS |
