LENOVO 30HS000MUS
Geekbench AI Score
6617
Single Precision Score
2487
Half Precision Score
11120
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 30 2025 10:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285 |
| 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% |
5571
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
853
158.6 IPS |
|
|
Image Classification (Q)
|
99% |
10030
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16518
268.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13479
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7412
8.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
45433
53.3 IPS |
|
|
Object Detection (SP)
|
100% |
5017
398.0 IPS |
|
|
Object Detection (HP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (Q)
|
86% |
11652
936.5 IPS |
|
|
Face Detection (SP)
|
100% |
16193
192.4 IPS |
|
|
Face Detection (HP)
|
100% |
2582
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
13101
156.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14847
114.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3376
26.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
20788
165.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25258
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18652
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28563
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5050
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3231
119.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6483
240.1 IPS |
|
|
Text Classification (SP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1591
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3034
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4109
82.6 IPS |
