Acer Swift SFG14-72
Geekbench ML Score
1940
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 14 2024 09:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG14-72 |
| Motherboard | MTL Coral_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 22 |
| L1 Data Cache | 32.0 KB x 22 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1110
207.6 IPS |
|
|
Image Classification (F16)
|
100% |
1084
202.8 IPS |
|
|
Image Classification (I8)
|
99% |
1980
370.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
866
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
778
13.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1002
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3247
3.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
3032
3.67 IPS |
|
|
Pose Estimation (I8)
|
100% |
8578
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
1006
75.1 IPS |
|
|
Object Detection (F16)
|
100% |
1066
79.6 IPS |
|
|
Object Detection (I8)
|
62% |
961
71.7 IPS |
|
|
Face Detection (F32)
|
100% |
2251
26.8 IPS |
|
|
Face Detection (F16)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (I8)
|
89% |
2720
32.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4312
33.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3019
23.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
4911
38.1 IPS |
|
|
Style Transfer (F32)
|
100% |
8904
11.7 IPS |
|
|
Style Transfer (F16)
|
100% |
8593
11.3 IPS |
|
|
Style Transfer (I8)
|
98% |
14159
18.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1801
64.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2137
76.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2144
76.6 IPS |
|
|
Text Classification (F32)
|
100% |
553
795.1 IPS |
|
|
Text Classification (F16)
|
100% |
771
1.11 KIPS |
|
|
Text Classification (I8)
|
98% |
351
504.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1068
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1081
19.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2072
38.1 IPS |
