LENOVO 90NC00JBUS
Geekbench AI Score
2549
Single Precision Score
1183
Half Precision Score
3634
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | PeterJFrancoIII |
| Upload Date | October 18 2025 08:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90NC00JBUS |
| Motherboard | LENOVO 3717 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1958
364.2 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (Q)
|
96% |
2997
559.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
3597
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4191
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3422
3.99 IPS |
|
|
Pose Estimation (Q)
|
86% |
7604
8.99 IPS |
|
|
Object Detection (SP)
|
100% |
2018
160.1 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.3 IPS |
|
|
Object Detection (Q)
|
58% |
2029
221.7 IPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
1062
12.6 IPS |
|
|
Face Detection (Q)
|
96% |
5163
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5387
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1653
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6798
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10523
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8176
10.5 IPS |
|
|
Style Transfer (Q)
|
87% |
11064
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3144
116.5 IPS |
|
|
Text Classification (SP)
|
100% |
1449
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
729
973.3 IPS |
|
|
Text Classification (Q)
|
97% |
1054
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
1877
36.3 IPS |
