Framework Laptop 13 (AMD Ryzen AI 300 Series)
Geekbench AI Score
5214
Single Precision Score
5235
Half Precision Score
13637
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | ascarter |
| Upload Date | October 19 2025 08:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42.20251018.0 (COSMIC Atomic) |
| 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 | 93.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3128
581.8 IPS |
|
|
Image Classification (HP)
|
100% |
3118
579.9 IPS |
|
|
Image Classification (Q)
|
100% |
8496
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3775
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3766
61.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10620
172.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7491
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
7360
8.59 IPS |
|
|
Pose Estimation (Q)
|
98% |
24195
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
3034
240.7 IPS |
|
|
Object Detection (HP)
|
100% |
3102
246.1 IPS |
|
|
Object Detection (Q)
|
88% |
8993
720.9 IPS |
|
|
Face Detection (SP)
|
100% |
8276
98.3 IPS |
|
|
Face Detection (HP)
|
100% |
8293
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
23647
281.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8119
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8129
62.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
22920
178.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17034
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17361
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
64756
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3714
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3759
138.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12351
457.4 IPS |
|
|
Text Classification (SP)
|
100% |
2766
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
4182
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4725
81.4 IPS |
|
|
Machine Translation (Q)
|
100% |
6250
107.7 IPS |
