Acer Swift SFG14-73
Geekbench ML Score
3051
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 04:30 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% |
1425
266.7 IPS |
|
|
Image Classification (F16)
|
100% |
1410
263.8 IPS |
|
|
Image Classification (I8)
|
100% |
1258
235.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1516
25.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1540
25.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1321
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
14010
17.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
14020
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12088
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1266
94.5 IPS |
|
|
Object Detection (F16)
|
100% |
1259
94.0 IPS |
|
|
Object Detection (I8)
|
54% |
1157
86.4 IPS |
|
|
Face Detection (F32)
|
100% |
1240
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1226
14.6 IPS |
|
|
Face Detection (I8)
|
89% |
1106
13.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
7938
61.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8036
62.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
6618
51.3 IPS |
|
|
Style Transfer (F32)
|
100% |
41969
55.2 IPS |
|
|
Style Transfer (F16)
|
100% |
42125
55.4 IPS |
|
|
Style Transfer (I8)
|
98% |
32309
42.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7635
272.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7549
269.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5304
189.4 IPS |
|
|
Text Classification (F32)
|
90% |
779
1.12 KIPS |
|
|
Text Classification (F16)
|
90% |
778
1.12 KIPS |
|
|
Text Classification (I8)
|
90% |
583
838.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1583
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1593
29.3 IPS |
|
|
Machine Translation (I8)
|
70% |
910
16.8 IPS |
