LENOVO 21J8
Geekbench AI Score
2153
Single Precision Score
2190
Half Precision Score
1320
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Eugene107 |
| Upload Date | April 27 2025 12:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core 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% |
1446
268.9 IPS |
|
|
Image Classification (HP)
|
100% |
1457
270.9 IPS |
|
|
Image Classification (Q)
|
99% |
971
181.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
871
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2951
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2923
3.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
2795
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.1 IPS |
|
|
Object Detection (HP)
|
100% |
1648
130.7 IPS |
|
|
Object Detection (Q)
|
85% |
989
79.6 IPS |
|
|
Face Detection (SP)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (Q)
|
97% |
2112
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2743
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2756
21.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1738
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3760
4.83 IPS |
|
|
Style Transfer (HP)
|
100% |
3734
4.80 IPS |
|
|
Style Transfer (Q)
|
98% |
5328
6.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1919
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1362
50.5 IPS |
|
|
Text Classification (SP)
|
100% |
1105
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1248
1.67 KIPS |
|
|
Text Classification (Q)
|
92% |
524
703.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2372
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2379
41.0 IPS |
|
|
Machine Translation (Q)
|
58% |
494
11.6 IPS |
