Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
8327
Single Precision Score
12562
Half Precision Score
19071
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jevangelho |
| Upload Date | August 16 2024 05:50 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Framework Laptop 13 (Intel Core Ultra Series 1) |
| Motherboard | Framework FRANMECP05 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5687
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
8332
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
9939
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4477
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10865
176.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15909
257.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22990
26.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
22233
26.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
76234
89.3 IPS |
|
|
Object Detection (SP)
|
100% |
5134
407.3 IPS |
|
|
Object Detection (HP)
|
100% |
8308
659.0 IPS |
|
|
Object Detection (Q)
|
88% |
11923
955.5 IPS |
|
|
Face Detection (SP)
|
100% |
8983
106.7 IPS |
|
|
Face Detection (HP)
|
100% |
18234
216.7 IPS |
|
|
Face Detection (Q)
|
100% |
30298
360.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20117
155.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34463
266.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
44381
352.3 IPS |
|
|
Style Transfer (SP)
|
100% |
57768
74.3 IPS |
|
|
Style Transfer (HP)
|
100% |
73432
94.4 IPS |
|
|
Style Transfer (Q)
|
98% |
173578
223.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9454
349.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16124
595.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23581
873.3 IPS |
|
|
Text Classification (SP)
|
71% |
2130
3.08 KIPS |
|
|
Text Classification (HP)
|
71% |
2644
3.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2654
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2538
43.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2977
51.5 IPS |
|
|
Machine Translation (Q)
|
89% |
3033
52.7 IPS |
