Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench ML Score
1572
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | bobolopolis |
| Upload Date | August 17 2024 02:43 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP09 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7940HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.42 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 | 60.65 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1250
234.0 IPS |
|
|
Image Classification (F16)
|
100% |
1272
238.0 IPS |
|
|
Image Classification (I8)
|
99% |
1005
188.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1842
30.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1671
27.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
979
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2397
2.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
2326
2.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
2670
3.23 IPS |
|
|
Object Detection (F32)
|
100% |
1242
92.7 IPS |
|
|
Object Detection (F16)
|
100% |
1296
96.7 IPS |
|
|
Object Detection (I8)
|
65% |
982
73.3 IPS |
|
|
Face Detection (F32)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (F16)
|
100% |
2343
27.9 IPS |
|
|
Face Detection (I8)
|
87% |
1965
23.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2511
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2510
19.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
2041
15.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3147
4.14 IPS |
|
|
Style Transfer (F16)
|
100% |
3167
4.17 IPS |
|
|
Style Transfer (I8)
|
98% |
5010
6.59 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1338
47.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1402
50.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1405
50.2 IPS |
|
|
Text Classification (F32)
|
100% |
684
983.0 IPS |
|
|
Text Classification (F16)
|
100% |
481
691.3 IPS |
|
|
Text Classification (I8)
|
92% |
252
362.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2355
43.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2466
45.4 IPS |
|
|
Machine Translation (I8)
|
62% |
860
15.8 IPS |
