Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
1485
Single Precision Score
1481
Half Precision Score
981
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | tmaier |
| Upload Date | March 17 2026 06:11 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Aurora (Version: 43.20260317) |
| Model | Framework Laptop 13 (Intel Core Ultra Series 1) |
| Motherboard | Framework FRANMECP05 |
| 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 | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 93.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1132
210.5 IPS |
|
|
Image Classification (HP)
|
100% |
1220
226.9 IPS |
|
|
Image Classification (Q)
|
99% |
776
144.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
733
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1813
2.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1716
2.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
1948
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (HP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (Q)
|
85% |
635
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
1979
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
2024
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
1144
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1671
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1633
12.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1235
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2953
3.80 IPS |
|
|
Style Transfer (HP)
|
100% |
2864
3.68 IPS |
|
|
Style Transfer (Q)
|
98% |
4000
5.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1120
41.5 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (Q)
|
92% |
472
634.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1349
23.2 IPS |
|
|
Machine Translation (Q)
|
58% |
393
9.23 IPS |
