Framework Laptop
Geekbench AI Score
3559
Single Precision Score
5007
Half Precision Score
7744
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | WillerZ |
| Upload Date | December 30 2025 01:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2252
418.8 IPS |
|
|
Image Classification (HP)
|
100% |
3242
603.0 IPS |
|
|
Image Classification (Q)
|
99% |
4053
755.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2999
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5227
84.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6490
105.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7432
8.67 IPS |
|
|
Pose Estimation (HP)
|
99% |
5448
6.36 IPS |
|
|
Pose Estimation (Q)
|
97% |
25121
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2135
169.3 IPS |
|
|
Object Detection (HP)
|
100% |
3214
254.9 IPS |
|
|
Object Detection (Q)
|
90% |
4877
390.0 IPS |
|
|
Face Detection (SP)
|
100% |
5059
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
8953
106.4 IPS |
|
|
Face Detection (Q)
|
100% |
13827
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7547
58.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12249
94.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
16031
124.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19224
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25379
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
55884
72.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3079
113.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4762
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9704
359.4 IPS |
|
|
Text Classification (SP)
|
71% |
993
1.44 KIPS |
|
|
Text Classification (HP)
|
71% |
1327
1.92 KIPS |
|
|
Text Classification (Q)
|
92% |
1063
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1900
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1885
32.6 IPS |
