LENOVO 90YJ0016US
Geekbench AI Score
3997
Single Precision Score
1558
Half Precision Score
8599
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | remichel |
| Upload Date | December 18 2025 11:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3175
590.5 IPS |
|
|
Image Classification (HP)
|
100% |
502
93.4 IPS |
|
|
Image Classification (Q)
|
99% |
7752
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11114
180.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8250
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
6687
7.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
33379
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
3019
239.5 IPS |
|
|
Object Detection (HP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (Q)
|
86% |
8906
715.8 IPS |
|
|
Face Detection (SP)
|
100% |
6331
75.2 IPS |
|
|
Face Detection (HP)
|
100% |
1307
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
10866
129.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9260
71.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2299
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17681
141.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17550
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16917
21.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32756
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4183
154.9 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
649
866.9 IPS |
|
|
Text Classification (Q)
|
97% |
1137
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2885
58.0 IPS |
