LENOVO 90YJ0016US
Geekbench AI Score
4443
Single Precision Score
1742
Half Precision Score
9664
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | remichel |
| Upload Date | December 31 2025 03:01 AM |
| Views | 8 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3388
630.1 IPS |
|
|
Image Classification (HP)
|
100% |
572
106.3 IPS |
|
|
Image Classification (Q)
|
99% |
9092
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12190
198.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9649
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7492
8.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
37259
43.7 IPS |
|
|
Object Detection (SP)
|
100% |
3482
276.2 IPS |
|
|
Object Detection (HP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (Q)
|
86% |
10012
804.6 IPS |
|
|
Face Detection (SP)
|
100% |
6763
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
1446
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
12112
144.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10146
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2645
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
20324
162.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20782
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18652
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35262
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2405
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2060
76.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4760
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
1479
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
746
996.1 IPS |
|
|
Text Classification (Q)
|
97% |
1229
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2513
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3385
68.0 IPS |
