Framework Laptop 12 (13th Gen Intel Core)
Geekbench AI Score
2099
Single Precision Score
2021
Half Precision Score
4187
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 09:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-1334U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 12 (13th Gen Intel Core) |
| Motherboard | Framework FRAPMACP05 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1334U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1171
217.7 IPS |
|
|
Image Classification (HP)
|
100% |
1209
224.8 IPS |
|
|
Image Classification (Q)
|
100% |
2611
485.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1726
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3281
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2994
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
1843
2.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
5722
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
1095
86.8 IPS |
|
|
Object Detection (HP)
|
100% |
1266
100.5 IPS |
|
|
Object Detection (Q)
|
88% |
2593
207.8 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (Q)
|
100% |
7055
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3009
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3069
23.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
6687
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6200
7.97 IPS |
|
|
Style Transfer (HP)
|
100% |
5890
7.57 IPS |
|
|
Style Transfer (Q)
|
98% |
18749
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4093
151.6 IPS |
|
|
Text Classification (SP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1499
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
2301
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1564
26.9 IPS |
