Framework Laptop 13 (AMD Ryzen AI 300 Series)
Geekbench AI Score
2372
Single Precision Score
2323
Half Precision Score
1845
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Ray5 |
| Upload Date | July 18 2025 10:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| 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% |
1522
283.0 IPS |
|
|
Image Classification (HP)
|
100% |
1614
300.1 IPS |
|
|
Image Classification (Q)
|
99% |
1325
247.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2617
42.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1289
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3137
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3127
3.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
3734
4.37 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (Q)
|
85% |
1396
112.4 IPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
2710
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
2792
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2736
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2681
20.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2338
21.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4238
5.45 IPS |
|
|
Style Transfer (HP)
|
100% |
4236
5.45 IPS |
|
|
Style Transfer (Q)
|
98% |
6842
8.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1656
61.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1917
71.0 IPS |
|
|
Text Classification (SP)
|
100% |
1435
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1467
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
855
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3172
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2965
51.1 IPS |
|
|
Machine Translation (Q)
|
58% |
705
16.6 IPS |
