Framework Laptop 13 (AMD Ryzen 7040Series)
Geekbench ML Score
3371
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2024 05:43 PM |
| Views | 3 |
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% |
1906
356.7 IPS |
|
|
Image Classification (F16)
|
100% |
1883
352.3 IPS |
|
|
Image Classification (I8)
|
99% |
4401
823.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
725
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
733
12.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2326
38.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6740
8.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
6038
7.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
21894
26.5 IPS |
|
|
Object Detection (F32)
|
100% |
1933
144.3 IPS |
|
|
Object Detection (F16)
|
100% |
1897
141.6 IPS |
|
|
Object Detection (I8)
|
62% |
1844
137.7 IPS |
|
|
Face Detection (F32)
|
100% |
3477
41.3 IPS |
|
|
Face Detection (F16)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (I8)
|
89% |
4861
57.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7272
56.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6921
53.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14598
113.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13995
18.4 IPS |
|
|
Style Transfer (F16)
|
100% |
14902
19.6 IPS |
|
|
Style Transfer (I8)
|
98% |
24144
31.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2618
93.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2645
94.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3605
128.8 IPS |
|
|
Text Classification (F32)
|
100% |
1743
2.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1773
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
358
513.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1979
36.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1961
36.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2418
44.5 IPS |
