LENOVO 90YJ0016US
Geekbench AI Score
4183
Single Precision Score
1631
Half Precision Score
8900
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | remichel |
| Upload Date | December 31 2025 03:39 AM |
| Views | 6 |
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% |
3217
598.2 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.7 IPS |
|
|
Image Classification (Q)
|
99% |
8084
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9536
155.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8083
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
6825
7.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
36275
42.5 IPS |
|
|
Object Detection (SP)
|
100% |
3217
255.2 IPS |
|
|
Object Detection (HP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (Q)
|
86% |
9418
756.9 IPS |
|
|
Face Detection (SP)
|
100% |
6624
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
11670
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9390
72.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2439
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
19412
154.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18180
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17179
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29236
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2268
83.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2047
75.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4645
172.0 IPS |
|
|
Text Classification (SP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
712
950.5 IPS |
|
|
Text Classification (Q)
|
97% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3150
63.3 IPS |
