Acer Swift SFG14-73
Geekbench ML Score
2049
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:14 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Swift SFG14-73 |
| Motherboard | MTL Goldfish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 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% |
891
166.6 IPS |
|
|
Image Classification (F16)
|
100% |
832
155.8 IPS |
|
|
Image Classification (I8)
|
99% |
1988
372.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
621
10.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
730
12.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1322
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
3285
3.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
3345
4.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
11795
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1177
87.9 IPS |
|
|
Object Detection (F16)
|
100% |
1063
79.3 IPS |
|
|
Object Detection (I8)
|
62% |
1099
82.0 IPS |
|
|
Face Detection (F32)
|
100% |
2841
33.8 IPS |
|
|
Face Detection (F16)
|
100% |
2403
28.6 IPS |
|
|
Face Detection (I8)
|
89% |
2890
34.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3585
27.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3420
26.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
9845
76.3 IPS |
|
|
Style Transfer (F32)
|
100% |
9446
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
8478
11.2 IPS |
|
|
Style Transfer (I8)
|
98% |
14935
19.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1800
64.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1878
67.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3259
116.4 IPS |
|
|
Text Classification (F32)
|
100% |
820
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
898
1.29 KIPS |
|
|
Text Classification (I8)
|
98% |
341
489.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1005
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1068
19.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1689
31.1 IPS |
