Acer Nitro AN517-55
Geekbench ML Score
1767
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 30 2024 09:56 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
926
173.2 IPS |
|
|
Image Classification (F16)
|
100% |
855
160.0 IPS |
|
|
Image Classification (I8)
|
99% |
1697
317.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
888
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
891
14.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1177
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2868
3.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
2859
3.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
9626
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
927
69.2 IPS |
|
|
Object Detection (F16)
|
100% |
919
68.6 IPS |
|
|
Object Detection (I8)
|
62% |
827
61.8 IPS |
|
|
Face Detection (F32)
|
100% |
2224
26.4 IPS |
|
|
Face Detection (F16)
|
100% |
2175
25.9 IPS |
|
|
Face Detection (I8)
|
89% |
2290
27.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3197
24.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3463
26.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
7030
54.5 IPS |
|
|
Style Transfer (F32)
|
100% |
6595
8.68 IPS |
|
|
Style Transfer (F16)
|
100% |
6533
8.59 IPS |
|
|
Style Transfer (I8)
|
98% |
12455
16.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1520
54.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1463
52.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2188
78.1 IPS |
|
|
Text Classification (F32)
|
100% |
798
1.15 KIPS |
|
|
Text Classification (F16)
|
100% |
767
1.10 KIPS |
|
|
Text Classification (I8)
|
98% |
204
292.9 IPS |
|
|
Machine Translation (F32)
|
100% |
987
18.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1003
18.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1363
25.1 IPS |
