Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
2485
Single Precision Score
2506
Half Precision Score
1782
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | stumps290 |
| Upload Date | August 25 2025 09:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| 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% |
1771
329.4 IPS |
|
|
Image Classification (HP)
|
100% |
1830
340.3 IPS |
|
|
Image Classification (Q)
|
99% |
1411
263.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2725
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2735
44.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1221
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2908
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2931
3.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
3674
4.30 IPS |
|
|
Object Detection (SP)
|
100% |
1938
153.7 IPS |
|
|
Object Detection (HP)
|
100% |
1953
155.0 IPS |
|
|
Object Detection (Q)
|
85% |
1222
98.4 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
2715
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2937
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2963
22.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
2176
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3501
4.50 IPS |
|
|
Style Transfer (HP)
|
100% |
3531
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
6389
8.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1835
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1840
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1725
63.9 IPS |
|
|
Text Classification (SP)
|
100% |
2065
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2027
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
911
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2871
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2913
50.2 IPS |
|
|
Machine Translation (Q)
|
58% |
706
16.6 IPS |
