Acer Nitro AN515-42
Geekbench ML Score
826
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | radovanslav |
| Upload Date | July 26 2024 10:12 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Acer Nitro AN515-42 |
| Motherboard | RR Freed_RRS |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
422
78.9 IPS |
|
|
Image Classification (F16)
|
100% |
419
78.5 IPS |
|
|
Image Classification (I8)
|
97% |
493
92.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
295
4.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
296
4.95 IPS |
|
|
Image Segmentation (I8)
|
97% |
521
8.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
1320
1.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
1319
1.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
1298
1.57 IPS |
|
|
Object Detection (F32)
|
100% |
507
37.8 IPS |
|
|
Object Detection (F16)
|
100% |
508
37.9 IPS |
|
|
Object Detection (I8)
|
60% |
447
33.4 IPS |
|
|
Face Detection (F32)
|
100% |
1164
13.8 IPS |
|
|
Face Detection (F16)
|
100% |
1152
13.7 IPS |
|
|
Face Detection (I8)
|
87% |
1257
14.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1657
12.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
1570
12.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
1673
13.0 IPS |
|
|
Style Transfer (F32)
|
100% |
3127
4.11 IPS |
|
|
Style Transfer (F16)
|
100% |
3110
4.09 IPS |
|
|
Style Transfer (I8)
|
85% |
3085
4.06 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
646
23.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
659
23.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
663
23.7 IPS |
|
|
Text Classification (F32)
|
100% |
616
885.7 IPS |
|
|
Text Classification (F16)
|
100% |
618
888.0 IPS |
|
|
Text Classification (I8)
|
94% |
222
318.5 IPS |
|
|
Machine Translation (F32)
|
100% |
870
16.0 IPS |
|
|
Machine Translation (F16)
|
100% |
865
15.9 IPS |
|
|
Machine Translation (I8)
|
67% |
819
15.1 IPS |
