Acer Nitro AN515-42
Geekbench ML Score
790
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 12 2024 06:37 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
514
96.2 IPS |
|
|
Image Classification (F16)
|
100% |
528
98.9 IPS |
|
|
Image Classification (I8)
|
97% |
529
99.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
295
4.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
291
4.85 IPS |
|
|
Image Segmentation (I8)
|
97% |
479
8.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
1190
1.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
1244
1.51 IPS |
|
|
Pose Estimation (I8)
|
100% |
1201
1.45 IPS |
|
|
Object Detection (F32)
|
100% |
457
34.2 IPS |
|
|
Object Detection (F16)
|
100% |
481
35.9 IPS |
|
|
Object Detection (I8)
|
60% |
420
31.4 IPS |
|
|
Face Detection (F32)
|
100% |
1041
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (I8)
|
87% |
1152
13.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1496
11.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
1568
12.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
1555
12.1 IPS |
|
|
Style Transfer (F32)
|
100% |
3025
3.98 IPS |
|
|
Style Transfer (F16)
|
100% |
2764
3.64 IPS |
|
|
Style Transfer (I8)
|
85% |
2651
3.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
610
21.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
681
24.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
658
23.5 IPS |
|
|
Text Classification (F32)
|
100% |
594
853.5 IPS |
|
|
Text Classification (F16)
|
100% |
550
790.7 IPS |
|
|
Text Classification (I8)
|
94% |
207
296.9 IPS |
|
|
Machine Translation (F32)
|
100% |
780
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
781
14.4 IPS |
|
|
Machine Translation (I8)
|
67% |
755
13.9 IPS |
