Framework Laptop 16 (AMD Ryzen AI 300 Series)
Geekbench AI Score
5814
Single Precision Score
5778
Half Precision Score
15482
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Sirbudrick |
| Upload Date | January 02 2026 10:55 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
3553
660.7 IPS |
|
|
Image Classification (HP)
|
100% |
3629
674.9 IPS |
|
|
Image Classification (Q)
|
100% |
9776
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4439
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4364
70.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12065
195.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7936
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
7998
9.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
32334
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
3411
270.6 IPS |
|
|
Object Detection (HP)
|
100% |
3371
267.4 IPS |
|
|
Object Detection (Q)
|
88% |
10072
807.4 IPS |
|
|
Face Detection (SP)
|
100% |
8875
105.5 IPS |
|
|
Face Detection (HP)
|
100% |
8859
105.3 IPS |
|
|
Face Detection (Q)
|
100% |
28550
339.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9393
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9186
70.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
25064
195.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21496
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21693
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
81969
105.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4614
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4515
166.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14936
553.2 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (Q)
|
92% |
3863
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4282
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4325
74.5 IPS |
|
|
Machine Translation (Q)
|
100% |
6087
104.8 IPS |
