LENOVO 21J8
Geekbench AI Score
4159
Single Precision Score
4134
Half Precision Score
9941
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Eugene107 |
| Upload Date | April 27 2025 12:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | LENOVO 21J8 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2486
462.3 IPS |
|
|
Image Classification (HP)
|
100% |
2428
451.5 IPS |
|
|
Image Classification (Q)
|
100% |
6036
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3202
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6366
103.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4645
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4639
5.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
18305
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (Q)
|
88% |
6531
523.5 IPS |
|
|
Face Detection (SP)
|
100% |
7025
83.5 IPS |
|
|
Face Detection (HP)
|
100% |
6972
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
14182
168.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6195
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6185
47.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
16791
130.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13921
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13951
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
50525
65.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2915
107.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2877
106.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9974
369.4 IPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (Q)
|
92% |
4093
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4260
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4174
71.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4180
72.0 IPS |
