Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
2520
Single Precision Score
2528
Half Precision Score
1715
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | stumps290 |
| Upload Date | April 30 2025 06:45 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| 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 |
| Memory Information | |
|---|---|
| Size | 60.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1866
347.0 IPS |
|
|
Image Classification (HP)
|
100% |
1878
349.3 IPS |
|
|
Image Classification (Q)
|
99% |
1370
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2708
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2713
44.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1171
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3006
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3018
3.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
3454
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
1921
152.4 IPS |
|
|
Object Detection (HP)
|
100% |
1914
151.8 IPS |
|
|
Object Detection (Q)
|
85% |
1170
94.2 IPS |
|
|
Face Detection (SP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (Q)
|
97% |
2588
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3024
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3021
23.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2096
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3429
4.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3455
4.44 IPS |
|
|
Style Transfer (Q)
|
98% |
6143
7.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1657
61.4 IPS |
|
|
Text Classification (SP)
|
100% |
2068
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (Q)
|
92% |
888
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3045
52.5 IPS |
|
|
Machine Translation (Q)
|
58% |
694
16.3 IPS |
