System76 Lemur Pro
Geekbench AI Score
1108
Single Precision Score
1087
Half Precision Score
795
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | sviams |
| Upload Date | August 17 2024 02:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | System76 Lemur Pro |
| Motherboard | System76 Lemur Pro |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 54.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
804
149.4 IPS |
|
|
Image Classification (HP)
|
100% |
804
149.5 IPS |
|
|
Image Classification (Q)
|
99% |
529
98.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
626
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1370
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1152
1.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
1363
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
765
60.7 IPS |
|
|
Object Detection (HP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (Q)
|
86% |
548
44.1 IPS |
|
|
Face Detection (SP)
|
100% |
1586
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1439
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
1193
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1224
9.43 IPS |
|
|
Depth Estimation (HP)
|
100% |
1170
9.01 IPS |
|
|
Depth Estimation (Q)
|
74% |
1158
9.40 IPS |
|
|
Style Transfer (SP)
|
100% |
1798
2.31 IPS |
|
|
Style Transfer (HP)
|
100% |
1830
2.35 IPS |
|
|
Style Transfer (Q)
|
98% |
2817
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
894
33.1 IPS |
|
|
Text Classification (SP)
|
100% |
572
762.9 IPS |
|
|
Text Classification (HP)
|
100% |
614
819.0 IPS |
|
|
Text Classification (Q)
|
92% |
326
437.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (Q)
|
58% |
362
8.51 IPS |
