LENOVO 21JKCTO1WW
Geekbench AI Score
46
Single Precision Score
46
Half Precision Score
35
Quantized Score
Geekbench AI 1.0.0 for Linux x86 (64-bit)
Result Information
| User | malasa |
| Upload Date | August 16 2024 04:21 PM |
| Views | 10 |
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% |
26
4.88 IPS |
|
|
Image Classification (HP)
|
100% |
25
4.62 IPS |
|
|
Image Classification (Q)
|
97% |
21
3.87 IPS |
|
|
Image Segmentation (SP)
|
100% |
36
0.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
36
0.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
30
0.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
43
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
43
0.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
37
0.04 IPS |
|
|
Object Detection (SP)
|
100% |
25
1.96 IPS |
|
|
Object Detection (HP)
|
100% |
25
1.99 IPS |
|
|
Object Detection (Q)
|
88% |
21
1.72 IPS |
|
|
Face Detection (SP)
|
100% |
86
1.02 IPS |
|
|
Face Detection (HP)
|
100% |
86
1.02 IPS |
|
|
Face Detection (Q)
|
97% |
73
0.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
62
0.48 IPS |
|
|
Depth Estimation (HP)
|
100% |
61
0.47 IPS |
|
|
Depth Estimation (Q)
|
75% |
50
0.40 IPS |
|
|
Style Transfer (SP)
|
100% |
131
0.17 IPS |
|
|
Style Transfer (HP)
|
100% |
130
0.17 IPS |
|
|
Style Transfer (Q)
|
98% |
114
0.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26
0.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28
1.04 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
23
0.87 IPS |
|
|
Text Classification (SP)
|
100% |
39
52.0 IPS |
|
|
Text Classification (HP)
|
100% |
36
48.5 IPS |
|
|
Text Classification (Q)
|
91% |
26
34.3 IPS |
|
|
Machine Translation (SP)
|
100% |
64
1.11 IPS |
|
|
Machine Translation (HP)
|
100% |
65
1.12 IPS |
|
|
Machine Translation (Q)
|
58% |
30
0.72 IPS |
