LENOVO 21NR
Geekbench AI Score
3141
Single Precision Score
1083
Half Precision Score
4899
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | July 10 2025 01:14 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2456
456.7 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (Q)
|
99% |
4858
906.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1327
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4515
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4754
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2290
2.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
16442
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2109
167.2 IPS |
|
|
Object Detection (HP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (Q)
|
86% |
4067
326.9 IPS |
|
|
Face Detection (SP)
|
100% |
6736
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
7537
89.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6367
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1065
8.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
12140
96.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11626
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6757
8.69 IPS |
|
|
Style Transfer (Q)
|
98% |
16127
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2373
87.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1335
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4357
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
634
846.7 IPS |
|
|
Text Classification (Q)
|
97% |
472
632.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
65% |
1790
36.0 IPS |
