Acer Swift SFX14-72G
Geekbench ML Score
3214
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 10 2024 10:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFX14-72G |
| Motherboard | MTL EQB_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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1607
300.7 IPS |
|
|
Image Classification (F16)
|
100% |
1582
296.1 IPS |
|
|
Image Classification (I8)
|
99% |
2771
518.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1576
26.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1546
25.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2623
43.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5881
7.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
5752
6.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
21340
25.8 IPS |
|
|
Object Detection (F32)
|
100% |
1615
120.6 IPS |
|
|
Object Detection (F16)
|
100% |
1632
121.9 IPS |
|
|
Object Detection (I8)
|
62% |
1558
116.3 IPS |
|
|
Face Detection (F32)
|
100% |
3708
44.1 IPS |
|
|
Face Detection (F16)
|
100% |
3693
43.9 IPS |
|
|
Face Detection (I8)
|
89% |
3731
44.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6579
51.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6538
50.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
13023
101.0 IPS |
|
|
Style Transfer (F32)
|
100% |
14326
18.8 IPS |
|
|
Style Transfer (F16)
|
100% |
14458
19.0 IPS |
|
|
Style Transfer (I8)
|
98% |
18919
24.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2704
96.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2601
92.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4104
146.6 IPS |
|
|
Text Classification (F32)
|
100% |
1083
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1113
1.60 KIPS |
|
|
Text Classification (I8)
|
98% |
433
622.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1706
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1653
30.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2572
47.3 IPS |
