Framework Laptop 13 Framework Laptop 13 (AMD Ryzen AI 300 Series)
Geekbench AI Score
3929
Single Precision Score
1899
Half Precision Score
7508
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | marvingnils |
| Upload Date | July 06 2025 03:41 PM |
| Views | 8 |
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% |
3206
596.2 IPS |
|
|
Image Classification (HP)
|
100% |
653
121.5 IPS |
|
|
Image Classification (Q)
|
99% |
7169
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10862
176.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7497
8.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
5950
6.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
25824
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3170
251.5 IPS |
|
|
Object Detection (HP)
|
100% |
921
73.0 IPS |
|
|
Object Detection (Q)
|
86% |
7789
626.0 IPS |
|
|
Face Detection (SP)
|
100% |
6638
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
1934
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
10812
128.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8624
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2891
22.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17282
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17310
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14855
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33221
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2566
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2455
90.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1266
46.9 IPS |
|
|
Text Classification (SP)
|
100% |
1602
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
712
951.0 IPS |
|
|
Text Classification (Q)
|
97% |
1374
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3367
67.7 IPS |
