Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
6775
Single Precision Score
9599
Half Precision Score
4761
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Magic |
| Upload Date | February 05 2025 02:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen 7040 Series) |
| Motherboard | Framework FRANMZCP07 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2130
396.2 IPS |
|
|
Image Classification (HP)
|
100% |
3612
671.6 IPS |
|
|
Image Classification (Q)
|
100% |
1863
346.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3700
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4133
67.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2997
48.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
40429
47.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
72945
85.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
28537
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
2329
184.7 IPS |
|
|
Object Detection (HP)
|
100% |
3133
248.5 IPS |
|
|
Object Detection (Q)
|
87% |
1983
159.3 IPS |
|
|
Face Detection (SP)
|
100% |
5752
68.3 IPS |
|
|
Face Detection (HP)
|
100% |
9498
112.9 IPS |
|
|
Face Detection (Q)
|
97% |
4485
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13930
107.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20193
155.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
10394
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
69859
89.8 IPS |
|
|
Style Transfer (HP)
|
100% |
109779
141.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45272
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11389
420.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16177
597.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6245
231.2 IPS |
|
|
Text Classification (SP)
|
100% |
1780
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2089
2.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2422
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2736
47.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1296
24.3 IPS |
