N/A
Geekbench AI Score
718
Single Precision Score
707
Half Precision Score
457
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 05 2025 07:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i3-1315URE |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | N/A |
| Motherboard | congatec GmbH conga-HPC/mRLP |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i3-1315URE |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
623
115.9 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.4 IPS |
|
|
Image Classification (Q)
|
99% |
332
61.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
388
6.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
780
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
731
0.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
684
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
445
35.3 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (Q)
|
85% |
266
21.4 IPS |
|
|
Face Detection (SP)
|
100% |
891
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
905
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
725
8.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
815
6.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
796
6.13 IPS |
|
|
Depth Estimation (Q)
|
63% |
604
5.66 IPS |
|
|
Style Transfer (SP)
|
100% |
1282
1.65 IPS |
|
|
Style Transfer (HP)
|
100% |
1287
1.65 IPS |
|
|
Style Transfer (Q)
|
98% |
1546
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
385
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
682
909.9 IPS |
|
|
Text Classification (HP)
|
100% |
681
908.7 IPS |
|
|
Text Classification (Q)
|
92% |
245
329.1 IPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
868
15.0 IPS |
|
|
Machine Translation (Q)
|
58% |
271
6.37 IPS |
