LENOVO 21JKCTO1WW
Geekbench AI Score
901
Single Precision Score
848
Half Precision Score
659
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | malasa |
| Upload Date | August 16 2024 01:34 PM |
| Views | 8 |
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% |
1335
248.4 IPS |
|
|
Image Classification (HP)
|
100% |
678
126.1 IPS |
|
|
Image Classification (Q)
|
99% |
513
95.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
531
8.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
773
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
793
0.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
1139
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
608
48.2 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.3 IPS |
|
|
Object Detection (Q)
|
86% |
508
40.8 IPS |
|
|
Face Detection (SP)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
906
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
825
9.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
761
5.86 IPS |
|
|
Depth Estimation (HP)
|
100% |
790
6.09 IPS |
|
|
Depth Estimation (Q)
|
74% |
886
7.19 IPS |
|
|
Style Transfer (SP)
|
100% |
1266
1.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1201
1.54 IPS |
|
|
Style Transfer (Q)
|
98% |
2079
2.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
686
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
599
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
92% |
371
498.7 IPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
58% |
291
6.84 IPS |
