Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
1911
Single Precision Score
8448
Half Precision Score
12298
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sse |
| Upload Date | April 24 2025 08:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Framework Laptop 13 (Intel Core Ultra Series 1) |
| Motherboard | Framework FRANMECP02 |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
970
180.4 IPS |
|
|
Image Classification (HP)
|
100% |
5701
1.06 KIPS |
|
|
Image Classification (Q)
|
56% |
5371
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2568
41.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3486
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2735
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
29984
35.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
65396
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1002
79.5 IPS |
|
|
Object Detection (HP)
|
100% |
5344
423.9 IPS |
|
|
Object Detection (Q)
|
87% |
8465
679.4 IPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
13649
162.2 IPS |
|
|
Face Detection (Q)
|
100% |
22474
267.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3226
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16158
124.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
31053
241.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7946
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
46660
60.0 IPS |
|
|
Style Transfer (Q)
|
98% |
85720
110.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1240
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12230
451.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20295
751.6 IPS |
|
|
Text Classification (SP)
|
100% |
911
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1719
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3646
62.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3660
63.0 IPS |
