Framework Laptop (12th Gen Intel Core)
Geekbench AI Score
1983
Single Precision Score
512
Half Precision Score
3025
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ray5 |
| Upload Date | August 16 2024 01:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1247
231.9 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
99% |
2421
451.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1198
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
1948
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3609
4.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2450
2.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
10773
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1184
93.9 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.3 IPS |
|
|
Object Detection (Q)
|
88% |
1214
97.3 IPS |
|
|
Face Detection (SP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
216
2.56 IPS |
|
|
Face Detection (Q)
|
97% |
2935
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3969
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
617
4.75 IPS |
|
|
Depth Estimation (Q)
|
76% |
5636
45.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8508
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
5926
7.62 IPS |
|
|
Style Transfer (Q)
|
98% |
13063
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1166
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2601
96.3 IPS |
|
|
Text Classification (SP)
|
100% |
1031
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
424
565.4 IPS |
|
|
Text Classification (Q)
|
97% |
1216
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1192
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.31 IPS |
|
|
Machine Translation (Q)
|
60% |
1526
34.0 IPS |
