Acer Swift SFG14-72
Geekbench ML Score
3625
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 14 2024 09:04 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG14-72 |
| Motherboard | MTL Coral_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2088
390.8 IPS |
|
|
Image Classification (F16)
|
100% |
2099
392.8 IPS |
|
|
Image Classification (I8)
|
100% |
1735
324.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2806
46.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2696
45.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2315
38.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16380
19.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
16470
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
12687
15.4 IPS |
|
|
Object Detection (F32)
|
100% |
1792
133.8 IPS |
|
|
Object Detection (F16)
|
100% |
1787
133.4 IPS |
|
|
Object Detection (I8)
|
54% |
1515
113.1 IPS |
|
|
Face Detection (F32)
|
100% |
4183
49.7 IPS |
|
|
Face Detection (F16)
|
100% |
4255
50.6 IPS |
|
|
Face Detection (I8)
|
89% |
2976
35.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
9341
72.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9262
71.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
7557
58.6 IPS |
|
|
Style Transfer (F32)
|
100% |
41929
55.2 IPS |
|
|
Style Transfer (F16)
|
100% |
41675
54.8 IPS |
|
|
Style Transfer (I8)
|
98% |
28225
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5826
208.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5031
179.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3735
133.4 IPS |
|
|
Text Classification (F32)
|
90% |
586
841.9 IPS |
|
|
Text Classification (F16)
|
90% |
531
763.8 IPS |
|
|
Text Classification (I8)
|
90% |
386
555.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1215
22.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1257
23.1 IPS |
|
|
Machine Translation (I8)
|
70% |
798
14.7 IPS |
