Acer Swift SFG14-73
Geekbench ML Score
2542
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2024 09:48 AM |
| Views | 4 |
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 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 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% |
1292
241.7 IPS |
|
|
Image Classification (F16)
|
100% |
1393
260.7 IPS |
|
|
Image Classification (I8)
|
99% |
2460
460.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1007
16.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
929
15.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2301
38.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4661
5.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
4707
5.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
17679
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1169
87.3 IPS |
|
|
Object Detection (F16)
|
100% |
1545
115.3 IPS |
|
|
Object Detection (I8)
|
62% |
1417
105.8 IPS |
|
|
Face Detection (F32)
|
100% |
2974
35.4 IPS |
|
|
Face Detection (F16)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (I8)
|
89% |
2508
29.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3405
26.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2704
21.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
10916
84.7 IPS |
|
|
Style Transfer (F32)
|
100% |
8490
11.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10447
13.7 IPS |
|
|
Style Transfer (I8)
|
98% |
16155
21.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2050
73.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2505
89.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3937
140.6 IPS |
|
|
Text Classification (F32)
|
100% |
972
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
1067
1.53 KIPS |
|
|
Text Classification (I8)
|
98% |
430
617.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1536
28.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1488
27.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2354
43.3 IPS |
