Acer Nitro AN517-55
Geekbench ML Score
1944
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 21 2025 11:04 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Nitro AN517-55 |
| Motherboard | ADL Ignis_ADH |
| Power Plan | Camomile |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 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% |
968
181.1 IPS |
|
|
Image Classification (F16)
|
100% |
980
183.4 IPS |
|
|
Image Classification (I8)
|
99% |
1710
319.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
929
15.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
919
15.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1408
23.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2941
3.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
2918
3.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
9654
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
911
68.0 IPS |
|
|
Object Detection (F16)
|
100% |
988
73.7 IPS |
|
|
Object Detection (I8)
|
62% |
920
68.7 IPS |
|
|
Face Detection (F32)
|
100% |
2319
27.6 IPS |
|
|
Face Detection (F16)
|
100% |
2381
28.3 IPS |
|
|
Face Detection (I8)
|
89% |
2477
29.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3595
27.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3598
27.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
7092
55.0 IPS |
|
|
Style Transfer (F32)
|
100% |
7281
9.58 IPS |
|
|
Style Transfer (F16)
|
100% |
7281
9.58 IPS |
|
|
Style Transfer (I8)
|
98% |
13017
17.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1490
53.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1634
58.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2424
86.6 IPS |
|
|
Text Classification (F32)
|
100% |
779
1.12 KIPS |
|
|
Text Classification (F16)
|
100% |
831
1.19 KIPS |
|
|
Text Classification (I8)
|
98% |
629
904.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1065
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1005
18.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1551
28.5 IPS |
