Framework Laptop 16 (AMD Ryzen AI 300 Series)
Geekbench AI Score
21250
Single Precision Score
40058
Half Precision Score
16527
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Sirbudrick |
| Upload Date | January 02 2026 11:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 16 (AMD Ryzen AI 300 Series) |
| Motherboard | Framework FRANMHCP09 |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9009
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
16255
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
8477
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15687
254.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23216
376.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14314
232.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
112077
130.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
364510
425.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
97589
114.3 IPS |
|
|
Object Detection (SP)
|
100% |
11329
898.6 IPS |
|
|
Object Detection (HP)
|
100% |
20192
1.60 KIPS |
|
|
Object Detection (Q)
|
83% |
9401
759.6 IPS |
|
|
Face Detection (SP)
|
100% |
27366
325.2 IPS |
|
|
Face Detection (HP)
|
100% |
46420
551.6 IPS |
|
|
Face Detection (Q)
|
97% |
24709
294.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
49481
381.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110134
848.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
38026
303.5 IPS |
|
|
Style Transfer (SP)
|
100% |
157940
203.0 IPS |
|
|
Style Transfer (HP)
|
100% |
567797
729.9 IPS |
|
|
Style Transfer (Q)
|
98% |
142367
183.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31151
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61322
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24143
894.0 IPS |
|
|
Text Classification (SP)
|
100% |
3403
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4100
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2181
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4616
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1940
36.4 IPS |
