Framework Laptop
Geekbench AI Score
2752
Single Precision Score
2760
Half Precision Score
7358
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | WillerZ |
| Upload Date | December 30 2025 01:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| 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% |
1771
329.4 IPS |
|
|
Image Classification (HP)
|
100% |
1770
329.1 IPS |
|
|
Image Classification (Q)
|
100% |
5128
953.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4886
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3184
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3084
3.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
11507
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (Q)
|
88% |
4818
386.2 IPS |
|
|
Face Detection (SP)
|
100% |
3878
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (Q)
|
100% |
11922
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4184
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4234
32.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
12474
97.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8304
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8432
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30895
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1808
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1827
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6319
234.0 IPS |
|
|
Text Classification (SP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
3828
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3010
51.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3014
51.9 IPS |
