Framework Laptop (12th Gen Intel Core)
Geekbench AI Score
2831
Single Precision Score
2896
Half Precision Score
1681
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Ray5 |
| Upload Date | August 16 2024 01:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1108
206.1 IPS |
|
|
Image Classification (HP)
|
100% |
1199
223.0 IPS |
|
|
Image Classification (Q)
|
100% |
892
165.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1411
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9190
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11328
13.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
5109
5.98 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
98% |
1226
97.6 IPS |
|
|
Object Detection (Q)
|
89% |
1082
86.6 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (Q)
|
97% |
1653
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5560
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6370
49.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
3637
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25305
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32241
41.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15862
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3273
120.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4460
164.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1446
53.6 IPS |
|
|
Text Classification (SP)
|
100% |
987
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
434
579.0 IPS |
|
|
Text Classification (Q)
|
97% |
465
622.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (Q)
|
60% |
404
9.02 IPS |
