Acer Swift SF14-51T
Geekbench ML Score
5515
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 08:35 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 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3833
717.2 IPS |
|
|
Image Classification (F16)
|
100% |
3709
694.0 IPS |
|
|
Image Classification (I8)
|
100% |
2513
470.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
6113
102.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
6031
100.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
4539
75.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
20000
24.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
19924
24.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
16324
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
2940
219.5 IPS |
|
|
Object Detection (F16)
|
100% |
2860
213.5 IPS |
|
|
Object Detection (I8)
|
61% |
2479
185.1 IPS |
|
|
Face Detection (F32)
|
100% |
8126
96.6 IPS |
|
|
Face Detection (F16)
|
100% |
8159
97.0 IPS |
|
|
Face Detection (I8)
|
89% |
5570
66.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
17899
138.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
17290
134.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
14081
109.2 IPS |
|
|
Style Transfer (F32)
|
100% |
49283
64.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47082
61.9 IPS |
|
|
Style Transfer (I8)
|
98% |
35594
46.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7603
271.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8242
294.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5233
186.9 IPS |
|
|
Text Classification (F32)
|
100% |
693
996.6 IPS |
|
|
Text Classification (F16)
|
100% |
951
1.37 KIPS |
|
|
Text Classification (I8)
|
98% |
416
597.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1500
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1490
27.4 IPS |
|
|
Machine Translation (I8)
|
70% |
817
15.0 IPS |
