Acer Swift SFG14-73
Geekbench ML Score
2405
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 05:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Swift SFG14-73 |
| Motherboard | MTL Goldfish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
905
169.4 IPS |
|
|
Image Classification (F16)
|
100% |
917
171.7 IPS |
|
|
Image Classification (I8)
|
100% |
833
155.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1273
21.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1299
21.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1172
19.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
12303
14.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
12055
14.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
10819
13.1 IPS |
|
|
Object Detection (F32)
|
100% |
863
64.4 IPS |
|
|
Object Detection (F16)
|
100% |
855
63.9 IPS |
|
|
Object Detection (I8)
|
54% |
772
57.6 IPS |
|
|
Face Detection (F32)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (F16)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (I8)
|
89% |
1069
12.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5916
45.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5878
45.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
5061
39.2 IPS |
|
|
Style Transfer (F32)
|
100% |
35131
46.2 IPS |
|
|
Style Transfer (F16)
|
100% |
34697
45.6 IPS |
|
|
Style Transfer (I8)
|
98% |
27579
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5685
203.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5615
200.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4222
150.8 IPS |
|
|
Text Classification (F32)
|
90% |
692
994.1 IPS |
|
|
Text Classification (F16)
|
90% |
692
993.9 IPS |
|
|
Text Classification (I8)
|
90% |
502
721.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1073
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
921
16.9 IPS |
|
|
Machine Translation (I8)
|
70% |
861
15.9 IPS |
