Framework Laptop 16 (AMD Ryzen AI 300 Series)
Geekbench AI Score
8579
Single Precision Score
14260
Half Precision Score
6283
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Sirbudrick |
| Upload Date | January 02 2026 10:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
3146
585.1 IPS |
|
|
Image Classification (HP)
|
100% |
5537
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
2800
520.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4304
69.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5964
96.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3503
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
45641
53.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
108376
126.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32538
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
2372
188.2 IPS |
|
|
Object Detection (HP)
|
100% |
3782
300.0 IPS |
|
|
Object Detection (Q)
|
87% |
2277
182.9 IPS |
|
|
Face Detection (SP)
|
100% |
6528
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
11466
136.2 IPS |
|
|
Face Detection (Q)
|
97% |
5413
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19498
150.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33437
257.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
14303
114.7 IPS |
|
|
Style Transfer (SP)
|
100% |
83275
107.1 IPS |
|
|
Style Transfer (HP)
|
100% |
155826
200.3 IPS |
|
|
Style Transfer (Q)
|
98% |
53396
68.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13703
506.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28783
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8836
327.2 IPS |
|
|
Text Classification (SP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
3354
4.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1971
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3767
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4455
76.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1834
34.4 IPS |
