LENOVO 30H00016US
Geekbench AI Score
2779
Single Precision Score
4027
Half Precision Score
6337
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 03:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30H00016US |
| Motherboard | LENOVO 3333 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900T |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1669
310.3 IPS |
|
|
Image Classification (HP)
|
100% |
2757
512.7 IPS |
|
|
Image Classification (Q)
|
99% |
4226
788.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2531
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4087
66.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4931
79.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4492
5.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
3274
3.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
13439
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
98% |
2488
197.9 IPS |
|
|
Object Detection (Q)
|
90% |
4579
366.1 IPS |
|
|
Face Detection (SP)
|
100% |
5250
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
8030
95.4 IPS |
|
|
Face Detection (Q)
|
100% |
10941
130.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5283
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8771
67.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11954
93.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11674
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18166
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30948
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2084
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3413
126.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6979
258.5 IPS |
|
|
Text Classification (SP)
|
71% |
1230
1.78 KIPS |
|
|
Text Classification (HP)
|
71% |
1490
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
1529
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1881
32.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1886
32.5 IPS |
