Framework Laptop 13 (AMD Ryzen AI 300 Series)
Geekbench AI Score
2200
Single Precision Score
2224
Half Precision Score
1707
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | ascarter |
| Upload Date | October 19 2025 08:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| 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% |
1535
285.4 IPS |
|
|
Image Classification (HP)
|
100% |
1515
281.8 IPS |
|
|
Image Classification (Q)
|
99% |
1285
239.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1283
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2939
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2919
3.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
3541
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (Q)
|
85% |
1260
101.4 IPS |
|
|
Face Detection (SP)
|
100% |
2815
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (Q)
|
97% |
2660
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2705
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2736
21.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2090
19.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3990
5.13 IPS |
|
|
Style Transfer (HP)
|
100% |
3958
5.09 IPS |
|
|
Style Transfer (Q)
|
98% |
6310
8.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1662
61.6 IPS |
|
|
Text Classification (SP)
|
100% |
1261
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
745
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2726
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (Q)
|
58% |
660
15.5 IPS |
