Framework Laptop 16 (AMD Ryzen 7040 Series)
Geekbench AI Score
8317
Single Precision Score
12454
Half Precision Score
5971
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JunkIce |
| Upload Date | July 29 2025 10:34 PM |
| Views | 2 |
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% |
3340
621.2 IPS |
|
|
Image Classification (HP)
|
100% |
5013
932.2 IPS |
|
|
Image Classification (Q)
|
100% |
3018
561.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4064
65.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4888
79.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3099
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
38863
45.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
77345
90.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
28759
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
2860
226.9 IPS |
|
|
Object Detection (HP)
|
100% |
4113
326.2 IPS |
|
|
Object Detection (Q)
|
87% |
2495
200.4 IPS |
|
|
Face Detection (SP)
|
100% |
6161
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
11144
132.4 IPS |
|
|
Face Detection (Q)
|
97% |
5175
61.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18381
141.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29292
225.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13457
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
74385
95.6 IPS |
|
|
Style Transfer (HP)
|
100% |
123019
158.1 IPS |
|
|
Style Transfer (Q)
|
98% |
47877
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14800
546.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23937
883.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9141
338.5 IPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1675
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1683
31.6 IPS |
