LENOVO 21JKCTO1WW
Geekbench AI Score
941
Single Precision Score
1060
Half Precision Score
761
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | malasa |
| Upload Date | August 17 2024 09:57 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | LENOVO 21JKCTO1WW |
| Motherboard | LENOVO 21JKCTO1WW |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1358
252.6 IPS |
|
|
Image Classification (HP)
|
100% |
1270
236.1 IPS |
|
|
Image Classification (Q)
|
99% |
497
92.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
805
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
822
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
834
0.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
1184
1.39 IPS |
|
|
Object Detection (SP)
|
100% |
743
59.0 IPS |
|
|
Object Detection (HP)
|
100% |
1061
84.1 IPS |
|
|
Object Detection (Q)
|
86% |
599
48.1 IPS |
|
|
Face Detection (SP)
|
100% |
1406
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1745
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
1369
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
976
7.52 IPS |
|
|
Depth Estimation (HP)
|
100% |
855
6.59 IPS |
|
|
Depth Estimation (Q)
|
74% |
1003
8.15 IPS |
|
|
Style Transfer (SP)
|
100% |
1527
1.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1539
1.98 IPS |
|
|
Style Transfer (Q)
|
98% |
2325
3.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
710
26.3 IPS |
|
|
Text Classification (SP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
970
1.29 KIPS |
|
|
Text Classification (Q)
|
92% |
397
533.9 IPS |
|
|
Machine Translation (SP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
58% |
321
7.54 IPS |
