Framework Laptop 13 (Intel Core Ultra Series 1)
Geekbench AI Score
1179
Single Precision Score
1183
Half Precision Score
901
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Sedation3869 |
| Upload Date | December 20 2024 05:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (Workstation Edition) |
| Model | Framework Laptop 13 (Intel Core Ultra Series 1) |
| Motherboard | Framework FRANMECP02 |
| 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 | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
832
154.7 IPS |
|
|
Image Classification (HP)
|
100% |
854
158.7 IPS |
|
|
Image Classification (Q)
|
99% |
619
115.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
672
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1446
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1444
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1907
2.23 IPS |
|
|
Object Detection (SP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (HP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (Q)
|
85% |
703
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
1700
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
1729
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
1597
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1490
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1508
11.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1275
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2405
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
2371
3.05 IPS |
|
|
Style Transfer (Q)
|
98% |
3410
4.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
938
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
499
665.5 IPS |
|
|
Text Classification (HP)
|
100% |
510
681.0 IPS |
|
|
Text Classification (Q)
|
92% |
247
331.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
58% |
395
9.28 IPS |
