Acer Swift SFG14-73T
Geekbench ML Score
2963
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 02:42 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% |
1287
240.9 IPS |
|
|
Image Classification (F16)
|
100% |
1417
265.2 IPS |
|
|
Image Classification (I8)
|
100% |
1262
236.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1484
24.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1466
24.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1286
21.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
13379
16.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
13461
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
11876
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1257
93.9 IPS |
|
|
Object Detection (F16)
|
100% |
1279
95.5 IPS |
|
|
Object Detection (I8)
|
54% |
1157
86.4 IPS |
|
|
Face Detection (F32)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (F16)
|
100% |
1195
14.2 IPS |
|
|
Face Detection (I8)
|
89% |
1088
12.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7618
59.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7688
59.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
6380
49.5 IPS |
|
|
Style Transfer (F32)
|
100% |
39864
52.4 IPS |
|
|
Style Transfer (F16)
|
100% |
39428
51.9 IPS |
|
|
Style Transfer (I8)
|
98% |
30893
40.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7482
267.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7794
278.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5219
186.4 IPS |
|
|
Text Classification (F32)
|
90% |
721
1.04 KIPS |
|
|
Text Classification (F16)
|
90% |
774
1.11 KIPS |
|
|
Text Classification (I8)
|
90% |
551
792.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1553
28.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1557
28.6 IPS |
|
|
Machine Translation (I8)
|
70% |
872
16.1 IPS |
