Acer Swift SF14-51
Geekbench ML Score
3375
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 12 2024 01:41 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF14-51 |
| Motherboard | LNL Icefish_LNV |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 12.0 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% |
1735
324.7 IPS |
|
|
Image Classification (F16)
|
100% |
1802
337.1 IPS |
|
|
Image Classification (I8)
|
99% |
3291
615.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1511
25.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1567
26.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2579
43.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5145
6.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
5025
6.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
17561
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
1602
119.6 IPS |
|
|
Object Detection (F16)
|
100% |
1566
116.9 IPS |
|
|
Object Detection (I8)
|
62% |
1500
112.0 IPS |
|
|
Face Detection (F32)
|
100% |
4003
47.6 IPS |
|
|
Face Detection (F16)
|
100% |
3992
47.5 IPS |
|
|
Face Detection (I8)
|
89% |
4483
53.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6234
48.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6084
47.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
12909
100.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12429
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
12222
16.1 IPS |
|
|
Style Transfer (I8)
|
98% |
21198
27.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2736
97.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2659
94.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4591
164.0 IPS |
|
|
Text Classification (F32)
|
100% |
1289
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
1204
1.73 KIPS |
|
|
Text Classification (I8)
|
98% |
1117
1.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
1965
36.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1894
34.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2719
50.0 IPS |
