Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench ML Score
2190
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | sinatosk |
| Upload Date | October 26 2024 10:13 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP07 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.14 GHz |
| Cluster 1 | 0 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 | 27.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1667
311.9 IPS |
|
|
Image Classification (F16)
|
100% |
1726
323.0 IPS |
|
|
Image Classification (I8)
|
99% |
1245
233.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2516
42.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2512
41.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1139
19.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2514
3.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
2709
3.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
3336
4.04 IPS |
|
|
Object Detection (F32)
|
100% |
1912
142.8 IPS |
|
|
Object Detection (F16)
|
100% |
1958
146.2 IPS |
|
|
Object Detection (I8)
|
65% |
1213
90.6 IPS |
|
|
Face Detection (F32)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (F16)
|
100% |
2943
35.0 IPS |
|
|
Face Detection (I8)
|
87% |
2433
28.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2987
23.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2987
23.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2566
19.9 IPS |
|
|
Style Transfer (F32)
|
100% |
3357
4.42 IPS |
|
|
Style Transfer (F16)
|
100% |
3356
4.41 IPS |
|
|
Style Transfer (I8)
|
98% |
6141
8.08 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1979
70.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1976
70.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1756
62.7 IPS |
|
|
Text Classification (F32)
|
100% |
1964
2.82 KIPS |
|
|
Text Classification (F16)
|
100% |
1972
2.83 KIPS |
|
|
Text Classification (I8)
|
92% |
823
1.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
2949
54.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2956
54.4 IPS |
|
|
Machine Translation (I8)
|
62% |
958
17.6 IPS |
