Acer Swift SF14-51
Geekbench ML Score
5536
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 12 2024 01:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF14-51 |
| 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% |
3349
626.7 IPS |
|
|
Image Classification (F16)
|
100% |
2804
524.8 IPS |
|
|
Image Classification (I8)
|
100% |
2099
392.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6167
103.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
6063
101.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
4567
76.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
21438
26.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
19732
23.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16149
19.6 IPS |
|
|
Object Detection (F32)
|
100% |
2942
219.7 IPS |
|
|
Object Detection (F16)
|
100% |
2947
220.0 IPS |
|
|
Object Detection (I8)
|
61% |
2594
193.6 IPS |
|
|
Face Detection (F32)
|
100% |
8112
96.5 IPS |
|
|
Face Detection (F16)
|
100% |
7928
94.3 IPS |
|
|
Face Detection (I8)
|
89% |
5477
65.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
18518
143.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
18029
139.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
13505
104.7 IPS |
|
|
Style Transfer (F32)
|
100% |
45984
60.5 IPS |
|
|
Style Transfer (F16)
|
100% |
45068
59.3 IPS |
|
|
Style Transfer (I8)
|
98% |
43079
56.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7803
278.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8695
310.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4991
178.2 IPS |
|
|
Text Classification (F32)
|
100% |
930
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
695
998.9 IPS |
|
|
Text Classification (I8)
|
98% |
561
806.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1619
29.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1555
28.6 IPS |
|
|
Machine Translation (I8)
|
70% |
874
16.1 IPS |
