Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
1951
Single Precision Score
825
Half Precision Score
3829
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 28 2025 10:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| 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% |
1575
292.9 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.5 IPS |
|
|
Image Classification (Q)
|
99% |
3717
693.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1052
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
543
8.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
2221
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3003
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2174
2.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
10814
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (Q)
|
86% |
3133
251.8 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
871
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
5202
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3745
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1186
9.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
7895
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6662
8.56 IPS |
|
|
Style Transfer (HP)
|
100% |
4594
5.91 IPS |
|
|
Style Transfer (Q)
|
98% |
11041
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1342
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2280
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
485
647.3 IPS |
|
|
Text Classification (Q)
|
97% |
1112
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
447
7.71 IPS |
|
|
Machine Translation (Q)
|
65% |
2111
42.4 IPS |
