Framework Laptop
Geekbench AI Score
2284
Single Precision Score
2286
Half Precision Score
6223
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | enrogue |
| Upload Date | February 13 2026 01:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.4 LTS |
| Model | Framework Laptop |
| Motherboard | Framework FRANBMCP0C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (Q)
|
100% |
4175
776.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3925
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2514
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2514
2.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
9843
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1323
104.9 IPS |
|
|
Object Detection (HP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (Q)
|
88% |
4226
338.7 IPS |
|
|
Face Detection (SP)
|
100% |
3436
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3440
40.9 IPS |
|
|
Face Detection (Q)
|
100% |
9910
117.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3484
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3478
26.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
10501
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6870
8.83 IPS |
|
|
Style Transfer (HP)
|
100% |
6872
8.83 IPS |
|
|
Style Transfer (Q)
|
98% |
25936
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5359
198.5 IPS |
|
|
Text Classification (SP)
|
100% |
1517
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (Q)
|
92% |
3357
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2633
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2639
45.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2633
45.3 IPS |
