Acer Swift SF14-51T
Geekbench ML Score
3467
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 05:00 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF14-51T |
| 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% |
1812
339.0 IPS |
|
|
Image Classification (F16)
|
100% |
1662
311.1 IPS |
|
|
Image Classification (I8)
|
99% |
3198
598.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1592
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1565
26.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2654
44.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5064
6.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
5035
6.10 IPS |
|
|
Pose Estimation (I8)
|
100% |
17971
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1830
136.6 IPS |
|
|
Object Detection (F16)
|
100% |
1820
135.9 IPS |
|
|
Object Detection (I8)
|
62% |
1761
131.5 IPS |
|
|
Face Detection (F32)
|
100% |
3731
44.4 IPS |
|
|
Face Detection (F16)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (I8)
|
89% |
4517
53.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6288
48.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6050
46.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
13079
101.4 IPS |
|
|
Style Transfer (F32)
|
100% |
12642
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12579
16.5 IPS |
|
|
Style Transfer (I8)
|
98% |
21536
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2712
96.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2702
96.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4772
170.4 IPS |
|
|
Text Classification (F32)
|
100% |
1318
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1338
1.92 KIPS |
|
|
Text Classification (I8)
|
98% |
1172
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2032
37.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2000
36.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2761
50.8 IPS |
