Framework Laptop
Geekbench AI Score
2130
Single Precision Score
1049
Half Precision Score
4516
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | WillerZ |
| Upload Date | December 30 2025 10:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Framework Laptop |
| Motherboard | Framework FRANBMCP03 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1690
314.3 IPS |
|
|
Image Classification (HP)
|
100% |
419
77.9 IPS |
|
|
Image Classification (Q)
|
99% |
3712
692.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
916
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
608
9.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
4148
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2906
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2286
2.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
10161
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (Q)
|
86% |
3496
281.0 IPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
1122
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
6030
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4120
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1494
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8422
67.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7018
9.02 IPS |
|
|
Style Transfer (HP)
|
100% |
5581
7.17 IPS |
|
|
Style Transfer (Q)
|
98% |
12965
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3919
145.1 IPS |
|
|
Text Classification (SP)
|
100% |
1328
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
728
971.7 IPS |
|
|
Text Classification (Q)
|
97% |
1245
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2012
40.4 IPS |
