Framework Laptop 16 (AMD Ryzen AI 300 Series)
Geekbench AI Score
5518
Single Precision Score
5548
Half Precision Score
14819
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | dawnmaster |
| Upload Date | January 09 2026 04:06 PM |
| Views | 6 |
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% |
3169
589.3 IPS |
|
|
Image Classification (HP)
|
100% |
3426
637.2 IPS |
|
|
Image Classification (Q)
|
100% |
9197
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4074
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3995
64.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11285
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7873
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
7844
9.15 IPS |
|
|
Pose Estimation (Q)
|
98% |
31174
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3232
256.3 IPS |
|
|
Object Detection (HP)
|
100% |
3280
260.1 IPS |
|
|
Object Detection (Q)
|
88% |
9501
761.6 IPS |
|
|
Face Detection (SP)
|
100% |
8196
97.4 IPS |
|
|
Face Detection (HP)
|
100% |
8096
96.2 IPS |
|
|
Face Detection (Q)
|
100% |
27050
321.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8767
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9019
69.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
24206
188.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21302
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20786
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
81347
104.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4492
165.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4473
165.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14461
535.6 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2983
3.98 KIPS |
|
|
Text Classification (Q)
|
92% |
3846
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3878
66.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5610
96.6 IPS |
