Framework Laptop 11G i7-1185G7 AVX2 Framework Laptop
Geekbench AI Score
1182
Single Precision Score
1188
Half Precision Score
602
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | tebruno99 |
| Upload Date | March 15 2025 04:32 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1185G7 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 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 | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
745
138.5 IPS |
|
|
Image Classification (HP)
|
100% |
768
142.8 IPS |
|
|
Image Classification (Q)
|
99% |
344
64.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1063
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
504
8.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1445
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1447
1.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
960
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
812
64.4 IPS |
|
|
Object Detection (HP)
|
100% |
814
64.5 IPS |
|
|
Object Detection (Q)
|
85% |
412
33.1 IPS |
|
|
Face Detection (SP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1634
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
934
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1506
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1496
11.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
779
7.31 IPS |
|
|
Style Transfer (SP)
|
100% |
2110
2.71 IPS |
|
|
Style Transfer (HP)
|
100% |
2115
2.72 IPS |
|
|
Style Transfer (Q)
|
98% |
2140
2.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
896
33.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
549
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (Q)
|
92% |
353
473.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (Q)
|
58% |
304
7.15 IPS |
