LENOVO 30HT0008TH
Geekbench AI Score
15361
Single Precision Score
27804
Half Precision Score
11955
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 06:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30HT0008TH |
| Motherboard | LENOVO 106F |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6364
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
12097
2.26 KIPS |
|
|
Image Classification (Q)
|
99% |
5682
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11192
181.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16757
271.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10187
165.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
62685
73.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
218181
254.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
56532
66.2 IPS |
|
|
Object Detection (SP)
|
100% |
7780
617.1 IPS |
|
|
Object Detection (HP)
|
100% |
14754
1.17 KIPS |
|
|
Object Detection (Q)
|
84% |
6860
553.3 IPS |
|
|
Face Detection (SP)
|
100% |
17834
211.9 IPS |
|
|
Face Detection (HP)
|
100% |
31474
374.0 IPS |
|
|
Face Detection (Q)
|
97% |
15927
189.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
35940
276.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
73358
565.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
28831
230.6 IPS |
|
|
Style Transfer (SP)
|
100% |
117600
151.2 IPS |
|
|
Style Transfer (HP)
|
100% |
289012
371.5 IPS |
|
|
Style Transfer (Q)
|
98% |
101854
131.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24372
899.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41567
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18107
670.5 IPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
3591
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1860
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1687
31.6 IPS |
