Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
2210
Single Precision Score
926
Half Precision Score
4022
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 01:04 PM |
| Views | 3 |
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% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
99% |
3987
743.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
706
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2567
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3504
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2958
3.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
12756
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1625
128.9 IPS |
|
|
Object Detection (HP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (Q)
|
86% |
3789
304.5 IPS |
|
|
Face Detection (SP)
|
100% |
3398
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
5008
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4694
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1645
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
9596
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8845
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6320
8.12 IPS |
|
|
Style Transfer (Q)
|
98% |
12197
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1256
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2699
99.9 IPS |
|
|
Text Classification (SP)
|
100% |
1068
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
386
515.5 IPS |
|
|
Text Classification (Q)
|
97% |
814
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
416
7.16 IPS |
|
|
Machine Translation (Q)
|
65% |
1743
35.0 IPS |
