Framework Laptop 13 Framework Laptop 13 (AMD Ryzen AI 300 Series)
Geekbench AI Score
7062
Single Precision Score
11454
Half Precision Score
5350
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | marvingnils |
| Upload Date | July 06 2025 03:43 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
5046
938.4 IPS |
|
|
Image Classification (Q)
|
100% |
2159
401.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4231
68.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5505
89.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3393
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
41972
49.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
94457
110.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29742
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
2012
159.6 IPS |
|
|
Object Detection (HP)
|
100% |
2390
189.5 IPS |
|
|
Object Detection (Q)
|
87% |
1892
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
5971
70.9 IPS |
|
|
Face Detection (HP)
|
100% |
10734
127.5 IPS |
|
|
Face Detection (Q)
|
97% |
5120
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16381
126.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23769
183.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12745
102.2 IPS |
|
|
Style Transfer (SP)
|
100% |
67961
87.4 IPS |
|
|
Style Transfer (HP)
|
100% |
121454
156.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45861
59.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10778
398.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25626
946.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6711
248.5 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3121
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1615
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2501
43.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1439
27.0 IPS |
