Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
2351
Single Precision Score
5767
Half Precision Score
1744
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 01:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Framework Laptop 13 (Intel Core Ultra Series 1) |
| Motherboard | Framework FRANMECP02 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
948
176.4 IPS |
|
|
Image Classification (HP)
|
100% |
3860
717.9 IPS |
|
|
Image Classification (Q)
|
100% |
846
157.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4539
73.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8529
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
12998
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
7113
8.34 IPS |
|
|
Object Detection (SP)
|
100% |
944
74.9 IPS |
|
|
Object Detection (HP)
|
99% |
4252
338.3 IPS |
|
|
Object Detection (Q)
|
86% |
852
68.5 IPS |
|
|
Face Detection (SP)
|
100% |
639
7.59 IPS |
|
|
Face Detection (HP)
|
100% |
5269
62.6 IPS |
|
|
Face Detection (Q)
|
97% |
589
7.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
5232
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
15542
120.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
4353
34.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28632
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51318
66.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19786
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5139
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9485
350.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3336
123.5 IPS |
|
|
Text Classification (SP)
|
86% |
779
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
556
742.5 IPS |
|
|
Text Classification (Q)
|
84% |
495
671.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1898
32.7 IPS |
|
|
Machine Translation (Q)
|
70% |
733
13.8 IPS |
