Acer Swift SF14-51T
Geekbench ML Score
3425
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 08:30 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% |
1766
330.6 IPS |
|
|
Image Classification (F16)
|
100% |
1705
319.1 IPS |
|
|
Image Classification (I8)
|
99% |
2845
532.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1591
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1615
27.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2645
44.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4757
5.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
4887
5.92 IPS |
|
|
Pose Estimation (I8)
|
100% |
18042
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1763
131.6 IPS |
|
|
Object Detection (F16)
|
100% |
1826
136.3 IPS |
|
|
Object Detection (I8)
|
62% |
1778
132.7 IPS |
|
|
Face Detection (F32)
|
100% |
4042
48.1 IPS |
|
|
Face Detection (F16)
|
100% |
3323
39.5 IPS |
|
|
Face Detection (I8)
|
89% |
4479
53.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6283
48.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6297
48.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
12754
98.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12263
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12060
15.9 IPS |
|
|
Style Transfer (I8)
|
98% |
21658
28.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2769
98.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2728
97.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4824
172.3 IPS |
|
|
Text Classification (F32)
|
100% |
1313
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1330
1.91 KIPS |
|
|
Text Classification (I8)
|
98% |
1138
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
2010
37.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1991
36.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2785
51.2 IPS |
