Framework Laptop 13 (AMD Ryzen AI 300 Series)
Geekbench AI Score
3402
Single Precision Score
777
Half Precision Score
7643
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | Ray5 |
| Upload Date | July 18 2025 10:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1705
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.2 IPS |
|
|
Image Classification (Q)
|
97% |
7376
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
333
5.40 IPS |
|
|
Image Segmentation (Q)
|
99% |
3443
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7975
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4064
4.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
27451
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
1980
157.0 IPS |
|
|
Object Detection (HP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (Q)
|
86% |
8180
657.4 IPS |
|
|
Face Detection (SP)
|
100% |
3280
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
343
4.07 IPS |
|
|
Face Detection (Q)
|
97% |
15519
185.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7023
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
854
6.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
15302
122.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17576
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12485
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26913
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2499
92.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1783
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3800
140.7 IPS |
|
|
Text Classification (SP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
580
774.6 IPS |
|
|
Text Classification (Q)
|
97% |
1501
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2540
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (Q)
|
65% |
3275
65.8 IPS |
