LENOVO 90YJCTO1WW
Geekbench AI Score
4853
Single Precision Score
2150
Half Precision Score
10613
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cz1982 |
| Upload Date | November 30 2025 12:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90YJCTO1WW |
| Motherboard | LENOVO 3787 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3976
739.4 IPS |
|
|
Image Classification (HP)
|
100% |
806
150.0 IPS |
|
|
Image Classification (Q)
|
99% |
9613
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11609
188.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7204
8.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
5971
6.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
28118
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
3726
295.6 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
86% |
9661
776.4 IPS |
|
|
Face Detection (SP)
|
100% |
8173
97.1 IPS |
|
|
Face Detection (HP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
12993
154.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9240
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2925
22.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19528
155.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17644
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15077
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
28651
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3107
114.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2756
101.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7642
283.0 IPS |
|
|
Text Classification (SP)
|
100% |
2671
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2115
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5092
102.3 IPS |
