Acer Swift SF14-51T
Geekbench ML Score
5544
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 08:33 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 | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3750
701.8 IPS |
|
|
Image Classification (F16)
|
100% |
3762
703.9 IPS |
|
|
Image Classification (I8)
|
100% |
2179
407.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6094
101.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
5997
100.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
4567
76.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
19669
23.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
19812
24.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
16436
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
2746
205.0 IPS |
|
|
Object Detection (F16)
|
100% |
2693
201.1 IPS |
|
|
Object Detection (I8)
|
61% |
2347
175.2 IPS |
|
|
Face Detection (F32)
|
100% |
7826
93.1 IPS |
|
|
Face Detection (F16)
|
100% |
8187
97.3 IPS |
|
|
Face Detection (I8)
|
89% |
5456
64.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
17820
138.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
18950
147.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
14056
109.0 IPS |
|
|
Style Transfer (F32)
|
100% |
46993
61.8 IPS |
|
|
Style Transfer (F16)
|
100% |
47145
62.0 IPS |
|
|
Style Transfer (I8)
|
98% |
38406
50.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7584
270.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7455
266.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5166
184.5 IPS |
|
|
Text Classification (F32)
|
100% |
763
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1021
1.47 KIPS |
|
|
Text Classification (I8)
|
98% |
540
776.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1483
27.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1710
31.5 IPS |
|
|
Machine Translation (I8)
|
70% |
824
15.2 IPS |
