Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
5870
Single Precision Score
10064
Half Precision Score
16020
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 01:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) 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 | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4391
816.7 IPS |
|
|
Image Classification (HP)
|
100% |
7166
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
8716
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2528
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7317
118.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12262
198.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18199
21.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
17480
20.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
64717
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
4040
320.4 IPS |
|
|
Object Detection (HP)
|
100% |
7448
590.8 IPS |
|
|
Object Detection (Q)
|
88% |
11732
940.1 IPS |
|
|
Face Detection (SP)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
10600
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
19629
233.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13286
102.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
26024
201.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
33146
257.6 IPS |
|
|
Style Transfer (SP)
|
100% |
39848
51.2 IPS |
|
|
Style Transfer (HP)
|
100% |
59338
76.3 IPS |
|
|
Style Transfer (Q)
|
98% |
136490
176.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7257
268.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13419
495.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20250
749.9 IPS |
|
|
Text Classification (SP)
|
71% |
1700
2.46 KIPS |
|
|
Text Classification (HP)
|
71% |
2465
3.57 KIPS |
|
|
Text Classification (Q)
|
92% |
2663
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1916
33.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2884
49.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2866
49.4 IPS |
