Framework Laptop 12 (13th Gen Intel Core)
Geekbench AI Score
1330
Single Precision Score
1247
Half Precision Score
815
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | February 09 2026 08:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1334U |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | Framework Laptop 12 (13th Gen Intel Core) |
| Motherboard | Framework FRAPMACP05 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1334U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
950
176.6 IPS |
|
|
Image Classification (HP)
|
100% |
947
176.1 IPS |
|
|
Image Classification (Q)
|
99% |
547
102.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
701
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1788
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1223
1.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
1176
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
997
79.1 IPS |
|
|
Object Detection (HP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
85% |
641
51.6 IPS |
|
|
Face Detection (SP)
|
100% |
1764
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
1546
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
1433
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1436
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1481
11.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
940
8.81 IPS |
|
|
Style Transfer (SP)
|
100% |
2109
2.71 IPS |
|
|
Style Transfer (HP)
|
100% |
1995
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
2945
3.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
855
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
572
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
1037
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1036
1.38 KIPS |
|
|
Text Classification (Q)
|
92% |
468
628.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1631
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (Q)
|
58% |
424
9.95 IPS |
