Acer Swift SFG14-73T
Geekbench ML Score
2893
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 29 2024 08:09 PM |
| Views | 5 |
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% |
1391
260.3 IPS |
|
|
Image Classification (F16)
|
100% |
1400
262.0 IPS |
|
|
Image Classification (I8)
|
100% |
1220
228.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1467
24.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1514
25.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1290
21.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
13456
16.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
13027
15.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
11532
14.0 IPS |
|
|
Object Detection (F32)
|
100% |
1242
92.7 IPS |
|
|
Object Detection (F16)
|
100% |
1250
93.3 IPS |
|
|
Object Detection (I8)
|
54% |
1125
84.0 IPS |
|
|
Face Detection (F32)
|
100% |
1207
14.3 IPS |
|
|
Face Detection (F16)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (I8)
|
89% |
1064
12.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7628
59.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7544
58.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
6276
48.7 IPS |
|
|
Style Transfer (F32)
|
100% |
39043
51.4 IPS |
|
|
Style Transfer (F16)
|
100% |
40109
52.8 IPS |
|
|
Style Transfer (I8)
|
98% |
30266
39.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6742
240.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7344
262.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5007
178.8 IPS |
|
|
Text Classification (F32)
|
90% |
676
971.9 IPS |
|
|
Text Classification (F16)
|
90% |
723
1.04 KIPS |
|
|
Text Classification (I8)
|
90% |
516
740.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1452
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1401
25.8 IPS |
|
|
Machine Translation (I8)
|
70% |
862
15.9 IPS |
