Framework Laptop 13 (AMD Ryzen AI 300 Series)
Geekbench AI Score
2610
Single Precision Score
1264
Half Precision Score
5360
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 05:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 13 (AMD Ryzen AI 300 Series) |
| Motherboard | Framework FRANMGCP09 |
| Power Plan | Balanced |
| 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 | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2546
473.5 IPS |
|
|
Image Classification (HP)
|
100% |
559
104.0 IPS |
|
|
Image Classification (Q)
|
99% |
6010
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8373
136.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5407
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4368
5.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
15660
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
1936
153.6 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.6 IPS |
|
|
Object Detection (Q)
|
86% |
4696
377.4 IPS |
|
|
Face Detection (SP)
|
100% |
4135
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
6561
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5320
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1514
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10842
86.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9557
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11298
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26375
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2863
106.0 IPS |
|
|
Text Classification (SP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
663
884.3 IPS |
|
|
Text Classification (Q)
|
97% |
1005
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (Q)
|
65% |
981
19.7 IPS |
