Acer Swift SFG14-73T
Geekbench ML Score
2938
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 03:23 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG14-73T |
| Motherboard | MTL Goldfish_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% |
1342
251.2 IPS |
|
|
Image Classification (F16)
|
100% |
1365
255.4 IPS |
|
|
Image Classification (I8)
|
100% |
1215
227.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1463
24.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1451
24.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1295
21.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
13365
16.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
13254
16.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
11692
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1225
91.5 IPS |
|
|
Object Detection (F16)
|
100% |
1185
88.4 IPS |
|
|
Object Detection (I8)
|
54% |
1112
83.0 IPS |
|
|
Face Detection (F32)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (F16)
|
100% |
1207
14.3 IPS |
|
|
Face Detection (I8)
|
89% |
1088
12.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7562
58.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7801
60.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
6410
49.7 IPS |
|
|
Style Transfer (F32)
|
100% |
39795
52.3 IPS |
|
|
Style Transfer (F16)
|
100% |
40690
53.5 IPS |
|
|
Style Transfer (I8)
|
98% |
30147
39.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7098
253.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7390
263.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5170
184.7 IPS |
|
|
Text Classification (F32)
|
90% |
760
1.09 KIPS |
|
|
Text Classification (F16)
|
90% |
763
1.10 KIPS |
|
|
Text Classification (I8)
|
90% |
566
814.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1531
28.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1538
28.3 IPS |
|
|
Machine Translation (I8)
|
70% |
880
16.2 IPS |
