Framework Laptop
Geekbench AI Score
2642
Single Precision Score
2648
Half Precision Score
7265
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 08:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop |
| Motherboard | Framework FRANBMCP0B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1496
278.2 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.3 IPS |
|
|
Image Classification (Q)
|
100% |
5065
941.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4769
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3058
3.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
12076
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
100% |
1466
116.3 IPS |
|
|
Object Detection (Q)
|
88% |
4391
352.0 IPS |
|
|
Face Detection (SP)
|
100% |
4069
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
4202
49.9 IPS |
|
|
Face Detection (Q)
|
100% |
11738
139.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4111
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4173
32.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
12420
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8232
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7772
9.99 IPS |
|
|
Style Transfer (Q)
|
98% |
31187
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1792
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6560
242.9 IPS |
|
|
Text Classification (SP)
|
100% |
1855
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1865
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
3877
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2643
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2476
42.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2769
47.7 IPS |
