Acer Swift SF14-51T
Geekbench ML Score
3462
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 05:02 PM |
| Views | 3 |
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% |
1818
340.2 IPS |
|
|
Image Classification (F16)
|
100% |
1785
334.1 IPS |
|
|
Image Classification (I8)
|
99% |
3295
616.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1587
26.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1602
26.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2655
44.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5023
6.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
4691
5.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
17779
21.5 IPS |
|
|
Object Detection (F32)
|
100% |
1725
128.8 IPS |
|
|
Object Detection (F16)
|
100% |
1813
135.4 IPS |
|
|
Object Detection (I8)
|
62% |
1789
133.5 IPS |
|
|
Face Detection (F32)
|
100% |
3993
47.5 IPS |
|
|
Face Detection (F16)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (I8)
|
89% |
4331
51.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6327
49.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6347
49.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
12971
100.6 IPS |
|
|
Style Transfer (F32)
|
100% |
12492
16.4 IPS |
|
|
Style Transfer (F16)
|
100% |
12473
16.4 IPS |
|
|
Style Transfer (I8)
|
98% |
21907
28.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2754
98.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2647
94.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4824
172.3 IPS |
|
|
Text Classification (F32)
|
100% |
1273
1.83 KIPS |
|
|
Text Classification (F16)
|
100% |
1285
1.85 KIPS |
|
|
Text Classification (I8)
|
98% |
1159
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
1986
36.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1950
35.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2800
51.5 IPS |
