Framework Laptop
Geekbench AI Score
1159
Single Precision Score
1156
Half Precision Score
592
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | enrogue |
| Upload Date | February 13 2026 12:57 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1185G7 |
| 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% |
774
143.9 IPS |
|
|
Image Classification (HP)
|
100% |
776
144.2 IPS |
|
|
Image Classification (Q)
|
99% |
310
57.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1013
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
426
6.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
1326
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1325
1.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
965
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
824
65.4 IPS |
|
|
Object Detection (HP)
|
100% |
826
65.6 IPS |
|
|
Object Detection (Q)
|
85% |
418
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
1569
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1571
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
943
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1459
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1381
10.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
789
7.40 IPS |
|
|
Style Transfer (SP)
|
100% |
1920
2.47 IPS |
|
|
Style Transfer (HP)
|
100% |
1918
2.47 IPS |
|
|
Style Transfer (Q)
|
98% |
2152
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
913
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
553
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (Q)
|
92% |
360
484.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1324
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
58% |
312
7.32 IPS |
