Acer Swift SFX16-61G
Geekbench ML Score
2380
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | xiaoboge |
| Upload Date | February 17 2025 06:09 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Acer Swift SFX16-61G |
| Motherboard | PHX Ariya_PEH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840H w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 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% |
1091
204.1 IPS |
|
|
Image Classification (F16)
|
100% |
1206
225.7 IPS |
|
|
Image Classification (I8)
|
99% |
3300
617.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
900
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
914
15.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2186
36.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3148
3.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
3122
3.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
16471
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1122
83.8 IPS |
|
|
Object Detection (F16)
|
100% |
1123
83.8 IPS |
|
|
Object Detection (I8)
|
62% |
1094
81.6 IPS |
|
|
Face Detection (F32)
|
100% |
2305
27.4 IPS |
|
|
Face Detection (F16)
|
100% |
2281
27.1 IPS |
|
|
Face Detection (I8)
|
89% |
4084
48.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3910
30.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3834
29.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
11263
87.3 IPS |
|
|
Style Transfer (F32)
|
100% |
7804
10.3 IPS |
|
|
Style Transfer (F16)
|
100% |
7948
10.5 IPS |
|
|
Style Transfer (I8)
|
98% |
19333
25.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1529
54.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1477
52.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2540
90.7 IPS |
|
|
Text Classification (F32)
|
100% |
1085
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1094
1.57 KIPS |
|
|
Text Classification (I8)
|
98% |
874
1.26 KIPS |
|
|
Machine Translation (F32)
|
100% |
1462
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1455
26.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2069
38.1 IPS |
