LENOVO 21NR
Geekbench AI Score
4208
Single Precision Score
4017
Half Precision Score
9931
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | July 10 2025 01:29 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21NR |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2545
473.3 IPS |
|
|
Image Classification (HP)
|
100% |
2585
480.7 IPS |
|
|
Image Classification (Q)
|
100% |
6303
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3340
54.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3413
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7117
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4637
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2924
3.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
16580
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (Q)
|
88% |
6633
531.8 IPS |
|
|
Face Detection (SP)
|
100% |
6958
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
7030
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
14159
168.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5814
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5838
45.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
15420
119.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13742
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13158
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
47928
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2924
108.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2958
109.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10230
378.9 IPS |
|
|
Text Classification (SP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (Q)
|
92% |
4469
6.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4013
69.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3946
68.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3954
68.1 IPS |
