Framework Laptop 16 (AMD Ryzen AI 300 Series)
Geekbench AI Score
20271
Single Precision Score
39294
Half Precision Score
15368
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 11:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen AI 300 Series) |
| Motherboard | Framework FRANMHCP09 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9031
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
16217
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
8457
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15296
248.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21989
356.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14300
232.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
105981
123.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
326122
380.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
94866
111.1 IPS |
|
|
Object Detection (SP)
|
100% |
10340
820.2 IPS |
|
|
Object Detection (HP)
|
100% |
20094
1.59 KIPS |
|
|
Object Detection (Q)
|
83% |
9338
754.5 IPS |
|
|
Face Detection (SP)
|
100% |
23923
284.3 IPS |
|
|
Face Detection (HP)
|
100% |
47357
562.7 IPS |
|
|
Face Detection (Q)
|
97% |
21696
258.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
50631
390.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
108663
837.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
29775
237.7 IPS |
|
|
Style Transfer (SP)
|
100% |
145279
186.8 IPS |
|
|
Style Transfer (HP)
|
100% |
568154
730.4 IPS |
|
|
Style Transfer (Q)
|
98% |
129462
166.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30371
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61210
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22731
841.7 IPS |
|
|
Text Classification (SP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4349
5.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2166
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4260
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4826
83.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1666
31.2 IPS |
