Acer Swift SF14-51T
Geekbench ML Score
5646
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 05:14 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 | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3337
624.4 IPS |
|
|
Image Classification (F16)
|
100% |
3777
706.8 IPS |
|
|
Image Classification (I8)
|
100% |
2462
460.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
6264
104.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
6160
102.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
4598
76.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
20132
24.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
20646
25.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
16843
20.4 IPS |
|
|
Object Detection (F32)
|
100% |
3082
230.1 IPS |
|
|
Object Detection (F16)
|
100% |
3067
229.0 IPS |
|
|
Object Detection (I8)
|
61% |
2577
192.4 IPS |
|
|
Face Detection (F32)
|
100% |
8241
98.0 IPS |
|
|
Face Detection (F16)
|
100% |
8264
98.3 IPS |
|
|
Face Detection (I8)
|
89% |
6023
71.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
18981
147.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
18671
144.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
14444
112.0 IPS |
|
|
Style Transfer (F32)
|
100% |
48989
64.4 IPS |
|
|
Style Transfer (F16)
|
100% |
48417
63.7 IPS |
|
|
Style Transfer (I8)
|
98% |
41367
54.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8073
288.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7419
265.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5011
179.0 IPS |
|
|
Text Classification (F32)
|
100% |
762
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
709
1.02 KIPS |
|
|
Text Classification (I8)
|
98% |
449
645.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1543
28.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1770
32.6 IPS |
|
|
Machine Translation (I8)
|
70% |
932
17.2 IPS |
