LENOVO 30K5001XUS
Geekbench AI Score
9235
Single Precision Score
18562
Half Precision Score
6452
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | January 17 2026 09:26 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A1000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30K5001XUS |
| Motherboard | LENOVO 337A |
| Power Plan | Lenovo High Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3754
698.1 IPS |
|
|
Image Classification (HP)
|
99% |
8243
1.54 KIPS |
|
|
Image Classification (Q)
|
99% |
3179
592.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6431
104.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11091
179.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5193
84.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33137
38.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124881
145.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
28970
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
4353
345.3 IPS |
|
|
Object Detection (HP)
|
100% |
10017
794.5 IPS |
|
|
Object Detection (Q)
|
84% |
3491
281.6 IPS |
|
|
Face Detection (SP)
|
100% |
10085
119.8 IPS |
|
|
Face Detection (HP)
|
100% |
19079
226.7 IPS |
|
|
Face Detection (Q)
|
97% |
8327
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21188
163.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
48482
373.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
15136
121.3 IPS |
|
|
Style Transfer (SP)
|
100% |
57276
73.6 IPS |
|
|
Style Transfer (HP)
|
100% |
169396
217.8 IPS |
|
|
Style Transfer (Q)
|
98% |
49793
64.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13982
516.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26830
990.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8284
306.7 IPS |
|
|
Text Classification (SP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3026
4.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1188
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3217
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1213
22.7 IPS |
