LENOVO 90YJ0016US
Geekbench AI Score
4262
Single Precision Score
1647
Half Precision Score
9019
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | remichel |
| Upload Date | December 31 2025 03:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 90YJ0016US |
| Motherboard | LENOVO 3787 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3262
606.7 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.6 IPS |
|
|
Image Classification (Q)
|
99% |
7765
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11111
180.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8497
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
6762
7.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
34764
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
3416
271.0 IPS |
|
|
Object Detection (HP)
|
100% |
679
53.9 IPS |
|
|
Object Detection (Q)
|
86% |
9235
742.2 IPS |
|
|
Face Detection (SP)
|
100% |
6815
81.0 IPS |
|
|
Face Detection (HP)
|
100% |
1414
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
11627
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9331
71.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2405
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18591
148.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20466
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16929
21.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30319
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2238
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2027
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4576
169.4 IPS |
|
|
Text Classification (SP)
|
100% |
1564
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1332
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2437
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3222
64.7 IPS |
