Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
1991
Single Precision Score
2005
Half Precision Score
4428
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | zyga |
| Upload Date | February 24 2025 09:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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 | Zrwnowaony |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
962
179.0 IPS |
|
|
Image Classification (HP)
|
100% |
1140
212.0 IPS |
|
|
Image Classification (Q)
|
100% |
2044
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1646
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3661
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3186
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2744
3.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
9829
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
989
78.4 IPS |
|
|
Object Detection (HP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (Q)
|
88% |
2376
190.5 IPS |
|
|
Face Detection (SP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
2467
29.3 IPS |
|
|
Face Detection (Q)
|
100% |
4892
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2403
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3190
24.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
6042
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8377
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8954
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28707
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1525
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5489
203.3 IPS |
|
|
Text Classification (SP)
|
100% |
1090
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1025
1.37 KIPS |
|
|
Text Classification (Q)
|
92% |
2050
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1685
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1737
29.9 IPS |
