Framework Laptop (12th Gen Intel Core)
Geekbench AI Score
2221
Single Precision Score
2213
Half Precision Score
5793
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ray5 |
| Upload Date | August 16 2024 01:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1260P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop (12th Gen Intel Core) |
| Motherboard | Framework FRANGACP06 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
1230
228.8 IPS |
|
|
Image Classification (Q)
|
100% |
3857
717.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3442
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3367
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3438
4.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
9116
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1344
106.6 IPS |
|
|
Object Detection (HP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (Q)
|
88% |
3369
270.1 IPS |
|
|
Face Detection (SP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (Q)
|
100% |
8252
98.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3680
28.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
3708
28.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
8601
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8954
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9210
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26704
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1836
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5301
196.3 IPS |
|
|
Text Classification (SP)
|
100% |
598
798.1 IPS |
|
|
Text Classification (HP)
|
100% |
585
780.5 IPS |
|
|
Text Classification (Q)
|
92% |
2720
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1990
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1976
34.0 IPS |
|
|
Machine Translation (Q)
|
85% |
3820
66.8 IPS |
