LENOVO 90YJ0016US
Geekbench AI Score
4287
Single Precision Score
1671
Half Precision Score
9100
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | remichel |
| Upload Date | December 30 2025 05:07 PM |
| Views | 7 |
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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3317
616.9 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (Q)
|
99% |
8289
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
768
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12321
200.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9264
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7134
8.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
36341
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
3388
268.8 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (Q)
|
86% |
9250
743.4 IPS |
|
|
Face Detection (SP)
|
100% |
6547
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
11745
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9533
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2500
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
19617
156.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19115
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17760
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30280
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2307
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2002
73.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4636
171.7 IPS |
|
|
Text Classification (SP)
|
100% |
1475
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
740
987.9 IPS |
|
|
Text Classification (Q)
|
97% |
1123
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2437
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3124
62.8 IPS |
