Acer Swift SF14-51T
Geekbench ML Score
3453
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 08:32 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% |
1767
330.6 IPS |
|
|
Image Classification (F16)
|
100% |
1728
323.4 IPS |
|
|
Image Classification (I8)
|
99% |
3306
618.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1515
25.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1597
26.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2565
42.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4918
5.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
5113
6.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
18143
22.0 IPS |
|
|
Object Detection (F32)
|
100% |
1788
133.5 IPS |
|
|
Object Detection (F16)
|
100% |
1829
136.6 IPS |
|
|
Object Detection (I8)
|
62% |
1764
131.7 IPS |
|
|
Face Detection (F32)
|
100% |
4057
48.2 IPS |
|
|
Face Detection (F16)
|
100% |
4042
48.1 IPS |
|
|
Face Detection (I8)
|
89% |
4354
51.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6237
48.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6248
48.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
12836
99.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12311
16.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12439
16.4 IPS |
|
|
Style Transfer (I8)
|
98% |
21503
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2780
99.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2711
96.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4771
170.4 IPS |
|
|
Text Classification (F32)
|
100% |
1305
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1342
1.93 KIPS |
|
|
Text Classification (I8)
|
98% |
1178
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1978
36.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1982
36.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2494
45.9 IPS |
