Framework Laptop 13 Framework Laptop 13 (AMD Ryzen AI 300 Series)
Geekbench AI Score
5694
Single Precision Score
5683
Half Precision Score
15031
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | marvingnils |
| Upload Date | July 06 2025 03:38 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
3309
615.4 IPS |
|
|
Image Classification (HP)
|
100% |
3343
621.6 IPS |
|
|
Image Classification (Q)
|
100% |
9751
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4291
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4220
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12061
195.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7822
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
7490
8.74 IPS |
|
|
Pose Estimation (Q)
|
98% |
29472
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
3215
255.0 IPS |
|
|
Object Detection (HP)
|
100% |
3329
264.0 IPS |
|
|
Object Detection (Q)
|
88% |
9804
785.9 IPS |
|
|
Face Detection (SP)
|
100% |
8717
103.6 IPS |
|
|
Face Detection (HP)
|
100% |
8861
105.3 IPS |
|
|
Face Detection (Q)
|
100% |
27245
323.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9334
71.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9114
70.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
24169
188.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20611
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20938
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
77789
100.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4455
164.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4444
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14364
532.0 IPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (Q)
|
92% |
3694
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4435
76.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4429
76.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6376
109.8 IPS |
