Framework Laptop (12th Gen Intel Core)
Geekbench AI Score
2327
Single Precision Score
2403
Half Precision Score
1457
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Karp |
| Upload Date | December 30 2024 05:23 PM |
| Views | 1 |
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 FRANMACP04 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
932
173.3 IPS |
|
|
Image Classification (HP)
|
100% |
954
177.5 IPS |
|
|
Image Classification (Q)
|
100% |
810
150.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1037
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8630
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9637
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
4763
5.58 IPS |
|
|
Object Detection (SP)
|
100% |
1097
87.0 IPS |
|
|
Object Detection (HP)
|
98% |
992
78.9 IPS |
|
|
Object Detection (Q)
|
86% |
924
74.3 IPS |
|
|
Face Detection (SP)
|
100% |
2157
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (Q)
|
97% |
1558
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4686
36.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5133
39.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3271
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19487
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25005
32.1 IPS |
|
|
Style Transfer (Q)
|
98% |
12367
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2917
107.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3527
130.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1245
46.1 IPS |
|
|
Text Classification (SP)
|
100% |
691
922.3 IPS |
|
|
Text Classification (HP)
|
100% |
335
447.1 IPS |
|
|
Text Classification (Q)
|
97% |
342
458.3 IPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
70% |
437
8.20 IPS |
