LENOVO 30HT006DGE
Geekbench AI Score
9835
Single Precision Score
17447
Half Precision Score
7232
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 01:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30HT006DGE |
| Motherboard | LENOVO 106F |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4531
842.7 IPS |
|
|
Image Classification (HP)
|
99% |
7916
1.48 KIPS |
|
|
Image Classification (Q)
|
99% |
3651
681.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6151
99.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9666
156.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5234
85.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
45365
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
147794
172.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
38558
45.2 IPS |
|
|
Object Detection (SP)
|
100% |
5308
421.1 IPS |
|
|
Object Detection (HP)
|
100% |
9588
760.5 IPS |
|
|
Object Detection (Q)
|
84% |
4329
349.2 IPS |
|
|
Face Detection (SP)
|
100% |
13405
159.3 IPS |
|
|
Face Detection (HP)
|
100% |
22448
266.7 IPS |
|
|
Face Detection (Q)
|
97% |
10878
129.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26913
207.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
54658
422.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
19235
154.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78066
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
208951
268.6 IPS |
|
|
Style Transfer (Q)
|
98% |
65644
84.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14389
531.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24204
893.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10031
371.4 IPS |
|
|
Text Classification (SP)
|
100% |
1641
2.19 KIPS |
|
|
Text Classification (HP)
|
99% |
1969
2.63 KIPS |
|
|
Text Classification (Q)
|
97% |
907
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (Q)
|
70% |
982
18.4 IPS |
