Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
1380
Single Precision Score
502
Half Precision Score
4564
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | tmaier |
| Upload Date | March 17 2026 07:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Aurora (Version: 43.20260317) |
| Model | Framework Laptop 13 (Intel Core Ultra Series 1) |
| Motherboard | Framework FRANMECP05 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 93.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
744
138.4 IPS |
|
|
Image Classification (HP)
|
100% |
112
20.9 IPS |
|
|
Image Classification (Q)
|
97% |
3211
599.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (Q)
|
99% |
2264
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1032
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2189
2.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
16043
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (HP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (Q)
|
86% |
4185
336.3 IPS |
|
|
Face Detection (SP)
|
100% |
2297
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
97% |
10127
120.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2552
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
768
5.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
10327
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5501
7.07 IPS |
|
|
Style Transfer (HP)
|
100% |
5222
6.71 IPS |
|
|
Style Transfer (Q)
|
98% |
20602
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1245
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
914
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2590
95.9 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
328
437.2 IPS |
|
|
Text Classification (Q)
|
97% |
831
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.64 IPS |
|
|
Machine Translation (Q)
|
65% |
1736
34.9 IPS |
