Framework Laptop 12 (13th Gen Intel Core)
Geekbench AI Score
3546
Single Precision Score
4928
Half Precision Score
7720
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 09:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
2148
399.4 IPS |
|
|
Image Classification (HP)
|
100% |
3235
601.6 IPS |
|
|
Image Classification (Q)
|
99% |
4483
836.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3116
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5183
84.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6500
105.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7214
8.42 IPS |
|
|
Pose Estimation (HP)
|
99% |
5377
6.27 IPS |
|
|
Pose Estimation (Q)
|
97% |
24396
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2099
166.5 IPS |
|
|
Object Detection (HP)
|
100% |
3166
251.1 IPS |
|
|
Object Detection (Q)
|
90% |
4912
392.7 IPS |
|
|
Face Detection (SP)
|
100% |
5048
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
8740
103.8 IPS |
|
|
Face Detection (Q)
|
100% |
13227
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7475
57.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12065
93.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
15705
122.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18403
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26483
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
53045
68.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3017
111.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4580
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9806
363.1 IPS |
|
|
Text Classification (SP)
|
71% |
1178
1.70 KIPS |
|
|
Text Classification (HP)
|
71% |
1392
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
1218
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1663
28.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1638
28.2 IPS |
