LENOVO 21NR
Geekbench AI Score
3468
Single Precision Score
3471
Half Precision Score
2158
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | July 10 2025 01:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1470
273.4 IPS |
|
|
Image Classification (HP)
|
100% |
1637
304.4 IPS |
|
|
Image Classification (Q)
|
100% |
1356
252.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1676
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13614
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13783
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
6627
7.76 IPS |
|
|
Object Detection (SP)
|
100% |
1700
134.8 IPS |
|
|
Object Detection (HP)
|
98% |
1509
120.1 IPS |
|
|
Object Detection (Q)
|
86% |
1418
114.0 IPS |
|
|
Face Detection (SP)
|
100% |
3436
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
4098
48.7 IPS |
|
|
Face Detection (Q)
|
97% |
2474
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6656
51.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7404
57.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
4570
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28302
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36360
46.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17713
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3720
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5305
195.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1594
59.0 IPS |
|
|
Text Classification (SP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
394
526.1 IPS |
|
|
Text Classification (Q)
|
97% |
544
728.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (Q)
|
70% |
593
11.1 IPS |
