Framework Laptop
Geekbench AI Score
1687
Single Precision Score
525
Half Precision Score
3648
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | enrogue |
| Upload Date | February 13 2026 01:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1076
200.0 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (Q)
|
97% |
3293
614.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
884
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.64 IPS |
|
|
Image Segmentation (Q)
|
99% |
1780
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2510
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2032
2.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
8804
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1114
88.4 IPS |
|
|
Object Detection (HP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (Q)
|
86% |
3118
250.6 IPS |
|
|
Face Detection (SP)
|
100% |
1742
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
296
3.52 IPS |
|
|
Face Detection (Q)
|
97% |
6963
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3068
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
740
5.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
6900
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6287
8.08 IPS |
|
|
Style Transfer (HP)
|
100% |
4909
6.31 IPS |
|
|
Style Transfer (Q)
|
98% |
11148
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2405
89.0 IPS |
|
|
Text Classification (SP)
|
100% |
1152
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
386
515.0 IPS |
|
|
Text Classification (Q)
|
97% |
1100
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
65% |
1832
36.8 IPS |
