LENOVO 30HT0008TH
Geekbench AI Score
15425
Single Precision Score
27687
Half Precision Score
12023
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 06:18 AM |
| Views | 4 |
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% |
6317
1.17 KIPS |
|
|
Image Classification (HP)
|
99% |
11975
2.23 KIPS |
|
|
Image Classification (Q)
|
99% |
5678
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11131
180.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16725
271.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10087
164.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
63422
74.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
218107
254.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
57079
66.9 IPS |
|
|
Object Detection (SP)
|
100% |
7754
615.0 IPS |
|
|
Object Detection (HP)
|
100% |
14497
1.15 KIPS |
|
|
Object Detection (Q)
|
84% |
7029
566.9 IPS |
|
|
Face Detection (SP)
|
100% |
18433
219.0 IPS |
|
|
Face Detection (HP)
|
100% |
31912
379.2 IPS |
|
|
Face Detection (Q)
|
97% |
16280
194.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
35469
273.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
72836
561.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
30377
243.0 IPS |
|
|
Style Transfer (SP)
|
100% |
116428
149.7 IPS |
|
|
Style Transfer (HP)
|
100% |
291832
375.2 IPS |
|
|
Style Transfer (Q)
|
98% |
103663
133.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24025
887.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41399
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17907
663.1 IPS |
|
|
Text Classification (SP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3545
4.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1817
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3898
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4200
72.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1648
30.9 IPS |
