Framework Laptop 13 (AMD Ryzen AI 300 Series)
Geekbench AI Score
6556
Single Precision Score
6548
Half Precision Score
17950
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Ray5 |
| Upload Date | July 18 2025 10:29 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | Framework Laptop 13 (AMD Ryzen AI 300 Series) |
| Motherboard | Framework FRANMGCP09 |
| 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 | 5.16 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3887
722.9 IPS |
|
|
Image Classification (HP)
|
100% |
3912
727.5 IPS |
|
|
Image Classification (Q)
|
100% |
11171
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4906
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4885
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14128
229.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8106
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
8077
9.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
33414
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
3859
306.1 IPS |
|
|
Object Detection (HP)
|
100% |
3843
304.8 IPS |
|
|
Object Detection (Q)
|
88% |
11574
927.8 IPS |
|
|
Face Detection (SP)
|
100% |
9806
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
9806
116.5 IPS |
|
|
Face Detection (Q)
|
100% |
30563
363.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10608
81.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10605
81.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
30018
233.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22818
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22829
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
89350
115.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5110
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5132
189.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16780
621.4 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (Q)
|
92% |
5316
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5765
99.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5820
100.2 IPS |
|
|
Machine Translation (Q)
|
100% |
7784
134.1 IPS |
