LENOVO 30H00016US
Geekbench AI Score
2794
Single Precision Score
4071
Half Precision Score
6407
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 31 2025 12:45 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% |
1710
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
2821
524.5 IPS |
|
|
Image Classification (Q)
|
99% |
4333
808.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2547
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4139
67.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4972
80.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4482
5.23 IPS |
|
|
Pose Estimation (HP)
|
99% |
3267
3.81 IPS |
|
|
Pose Estimation (Q)
|
97% |
13454
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
98% |
2494
198.5 IPS |
|
|
Object Detection (Q)
|
90% |
4627
370.0 IPS |
|
|
Face Detection (SP)
|
100% |
5257
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
8068
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
11177
132.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5299
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8719
67.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
12078
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11655
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18295
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30953
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2092
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3435
126.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7056
261.3 IPS |
|
|
Text Classification (SP)
|
71% |
1234
1.79 KIPS |
|
|
Text Classification (HP)
|
71% |
1526
2.21 KIPS |
|
|
Text Classification (Q)
|
92% |
1542
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1949
33.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1912
32.9 IPS |
