Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
6583
Single Precision Score
10066
Half Precision Score
15663
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | zyga |
| Upload Date | February 24 2025 09:54 PM |
| Views | 6 |
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 FRANMECP02 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4566
849.2 IPS |
|
|
Image Classification (HP)
|
100% |
6619
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
8346
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3092
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7917
128.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12216
198.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21314
24.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
18758
22.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
61164
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
4241
336.4 IPS |
|
|
Object Detection (HP)
|
100% |
6439
510.7 IPS |
|
|
Object Detection (Q)
|
88% |
9611
770.2 IPS |
|
|
Face Detection (SP)
|
100% |
6630
78.8 IPS |
|
|
Face Detection (HP)
|
100% |
11879
141.2 IPS |
|
|
Face Detection (Q)
|
100% |
21858
259.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15423
118.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
27554
213.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
34253
266.2 IPS |
|
|
Style Transfer (SP)
|
100% |
45572
58.6 IPS |
|
|
Style Transfer (HP)
|
100% |
65415
84.1 IPS |
|
|
Style Transfer (Q)
|
98% |
145010
187.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7988
295.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13801
509.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20780
769.6 IPS |
|
|
Text Classification (SP)
|
71% |
1671
2.42 KIPS |
|
|
Text Classification (HP)
|
71% |
2332
3.37 KIPS |
|
|
Text Classification (Q)
|
92% |
2500
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2449
42.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2629
45.3 IPS |
