Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
101
Single Precision Score
100
Half Precision Score
65
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| User | stumps290 |
| Upload Date | August 25 2025 09:03 AM |
| Views | 9 |
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% |
60
11.2 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.8 IPS |
|
|
Image Classification (Q)
|
97% |
41
7.69 IPS |
|
|
Image Segmentation (SP)
|
100% |
82
1.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
82
1.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
55
0.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
95
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
93
0.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
65
0.08 IPS |
|
|
Object Detection (SP)
|
100% |
56
4.45 IPS |
|
|
Object Detection (HP)
|
100% |
56
4.43 IPS |
|
|
Object Detection (Q)
|
87% |
39
3.10 IPS |
|
|
Face Detection (SP)
|
100% |
189
2.24 IPS |
|
|
Face Detection (HP)
|
100% |
188
2.23 IPS |
|
|
Face Detection (Q)
|
97% |
130
1.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
133
1.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
133
1.03 IPS |
|
|
Depth Estimation (Q)
|
64% |
78
0.72 IPS |
|
|
Style Transfer (SP)
|
100% |
278
0.36 IPS |
|
|
Style Transfer (HP)
|
100% |
278
0.36 IPS |
|
|
Style Transfer (Q)
|
98% |
198
0.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60
2.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60
2.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
41
1.53 IPS |
|
|
Text Classification (SP)
|
100% |
76
101.2 IPS |
|
|
Text Classification (HP)
|
100% |
76
101.1 IPS |
|
|
Text Classification (Q)
|
91% |
50
67.2 IPS |
|
|
Machine Translation (SP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (HP)
|
100% |
139
2.39 IPS |
|
|
Machine Translation (Q)
|
58% |
63
1.52 IPS |
