LENOVO 30H00016US
Geekbench AI Score
2800
Single Precision Score
4052
Half Precision Score
6377
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 31 2025 01:08 AM |
| 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% |
1711
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
2812
522.9 IPS |
|
|
Image Classification (Q)
|
99% |
4283
798.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4108
66.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4917
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4491
5.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
3272
3.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
13441
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
98% |
2519
200.4 IPS |
|
|
Object Detection (Q)
|
90% |
4568
365.2 IPS |
|
|
Face Detection (SP)
|
100% |
5264
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
8129
96.6 IPS |
|
|
Face Detection (Q)
|
100% |
11033
131.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5301
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8733
67.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
12035
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11658
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18293
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31009
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2104
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3433
126.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7105
263.1 IPS |
|
|
Text Classification (SP)
|
71% |
1246
1.80 KIPS |
|
|
Text Classification (HP)
|
71% |
1488
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
1525
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1892
32.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1930
33.2 IPS |
