Framework Laptop
Geekbench AI Score
3245
Single Precision Score
4355
Half Precision Score
6755
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | enrogue |
| Upload Date | February 13 2026 01:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.4 LTS |
| Model | Framework Laptop |
| Motherboard | Framework FRANBMCP0C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1864
346.7 IPS |
|
|
Image Classification (HP)
|
100% |
2490
463.1 IPS |
|
|
Image Classification (Q)
|
99% |
3496
652.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4502
73.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6578
106.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7798
9.10 IPS |
|
|
Pose Estimation (HP)
|
99% |
5832
6.80 IPS |
|
|
Pose Estimation (Q)
|
97% |
23537
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
1899
150.6 IPS |
|
|
Object Detection (HP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (Q)
|
90% |
3976
317.9 IPS |
|
|
Face Detection (SP)
|
100% |
4780
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
7316
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
12588
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7011
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10734
83.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
14135
109.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18594
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24179
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
50990
65.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2994
110.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4368
161.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7747
286.9 IPS |
|
|
Text Classification (SP)
|
71% |
763
1.10 KIPS |
|
|
Text Classification (HP)
|
71% |
1056
1.53 KIPS |
|
|
Text Classification (Q)
|
92% |
815
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1607
27.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1606
27.7 IPS |
