LENOVO 30HS000MUS
Geekbench AI Score
15633
Single Precision Score
27907
Half Precision Score
12344
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 10:33 PM |
| 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 30HS000MUS |
| Motherboard | LENOVO 106F |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6653
1.24 KIPS |
|
|
Image Classification (HP)
|
99% |
12540
2.34 KIPS |
|
|
Image Classification (Q)
|
99% |
5954
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11631
188.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16826
272.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10281
167.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
65391
76.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
212548
248.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
58701
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
8101
642.6 IPS |
|
|
Object Detection (HP)
|
100% |
14466
1.15 KIPS |
|
|
Object Detection (Q)
|
84% |
7121
574.4 IPS |
|
|
Face Detection (SP)
|
100% |
18930
224.9 IPS |
|
|
Face Detection (HP)
|
100% |
31962
379.8 IPS |
|
|
Face Detection (Q)
|
97% |
16862
201.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
35432
273.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
72114
555.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
30427
243.4 IPS |
|
|
Style Transfer (SP)
|
100% |
109175
140.3 IPS |
|
|
Style Transfer (HP)
|
100% |
300795
386.7 IPS |
|
|
Style Transfer (Q)
|
98% |
102374
132.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24783
915.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42814
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18317
678.3 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3480
4.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1928
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3952
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4276
73.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1732
32.5 IPS |
