LENOVO 90V6000KUS
Geekbench AI Score
5882
Single Precision Score
1733
Half Precision Score
8876
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 05:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 90V6000KUS |
| Motherboard | LENOVO 376A |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4747
882.8 IPS |
|
|
Image Classification (HP)
|
100% |
605
112.5 IPS |
|
|
Image Classification (Q)
|
99% |
7876
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4173
67.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11946
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5098
5.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
36392
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
4399
348.9 IPS |
|
|
Object Detection (HP)
|
100% |
748
59.3 IPS |
|
|
Object Detection (Q)
|
86% |
8583
689.8 IPS |
|
|
Face Detection (SP)
|
100% |
12264
145.7 IPS |
|
|
Face Detection (HP)
|
100% |
1844
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
13250
158.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13751
105.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2297
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
18498
147.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26302
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13210
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24464
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4176
154.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2348
86.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6154
227.9 IPS |
|
|
Text Classification (SP)
|
100% |
1725
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1797
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2561
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4459
89.6 IPS |
