Acer Swift SFG14-73
Geekbench ML Score
3057
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 04:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG14-73 |
| Motherboard | MTL Goldfish_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1429
267.4 IPS |
|
|
Image Classification (F16)
|
100% |
1415
264.8 IPS |
|
|
Image Classification (I8)
|
100% |
1269
237.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1561
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1547
25.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1357
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
13942
16.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
14139
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
12170
14.7 IPS |
|
|
Object Detection (F32)
|
100% |
1259
94.0 IPS |
|
|
Object Detection (F16)
|
100% |
1251
93.4 IPS |
|
|
Object Detection (I8)
|
54% |
1176
87.8 IPS |
|
|
Face Detection (F32)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1239
14.7 IPS |
|
|
Face Detection (I8)
|
89% |
1106
13.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7857
60.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
7984
61.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
6679
51.8 IPS |
|
|
Style Transfer (F32)
|
100% |
42717
56.2 IPS |
|
|
Style Transfer (F16)
|
100% |
41577
54.7 IPS |
|
|
Style Transfer (I8)
|
98% |
31720
41.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7703
275.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7616
272.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5234
186.9 IPS |
|
|
Text Classification (F32)
|
90% |
762
1.10 KIPS |
|
|
Text Classification (F16)
|
90% |
772
1.11 KIPS |
|
|
Text Classification (I8)
|
90% |
578
830.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1604
29.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1600
29.4 IPS |
|
|
Machine Translation (I8)
|
70% |
909
16.7 IPS |
