LENOVO 30H00016US
Geekbench AI Score
1856
Single Precision Score
1920
Half Precision Score
1239
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 05:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
792
147.2 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.2 IPS |
|
|
Image Classification (Q)
|
100% |
685
127.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
823
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5599
6.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
6153
7.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
3756
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (HP)
|
98% |
756
60.1 IPS |
|
|
Object Detection (Q)
|
86% |
731
58.8 IPS |
|
|
Face Detection (SP)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1906
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
1308
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3282
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3558
27.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2415
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11470
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15218
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8476
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1944
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2690
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
983
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
851
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
510
680.7 IPS |
|
|
Text Classification (Q)
|
97% |
439
588.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1064
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (Q)
|
70% |
480
9.01 IPS |
