Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench ML Score
3598
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 04:17 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 13 (AMD Ryzen 7040Series) |
| Motherboard | Framework FRANMDCP07 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1917
358.7 IPS |
|
|
Image Classification (F16)
|
100% |
1943
363.5 IPS |
|
|
Image Classification (I8)
|
99% |
4607
862.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1045
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1171
19.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2435
40.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6935
8.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
6869
8.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
23496
28.5 IPS |
|
|
Object Detection (F32)
|
100% |
1990
148.6 IPS |
|
|
Object Detection (F16)
|
100% |
1983
148.0 IPS |
|
|
Object Detection (I8)
|
62% |
1923
143.6 IPS |
|
|
Face Detection (F32)
|
100% |
3699
44.0 IPS |
|
|
Face Detection (F16)
|
100% |
3650
43.4 IPS |
|
|
Face Detection (I8)
|
89% |
5231
62.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6155
47.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7745
60.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
15832
122.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15821
20.8 IPS |
|
|
Style Transfer (F16)
|
100% |
14866
19.6 IPS |
|
|
Style Transfer (I8)
|
98% |
25063
33.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2533
90.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2856
102.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3241
115.8 IPS |
|
|
Text Classification (F32)
|
100% |
1946
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
1943
2.79 KIPS |
|
|
Text Classification (I8)
|
98% |
377
542.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2045
37.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2104
38.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2450
45.1 IPS |
