LENOVO 30HT004PUS
Geekbench AI Score
34720
Single Precision Score
50890
Half Precision Score
26540
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 05:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 5000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30HT004PUS |
| Motherboard | LENOVO 106F |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13263
2.47 KIPS |
|
|
Image Classification (HP)
|
99% |
18351
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
11403
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25074
406.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
32603
528.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22516
366.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
250168
291.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
481285
561.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
218314
255.8 IPS |
|
|
Object Detection (SP)
|
100% |
17405
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
23702
1.88 KIPS |
|
|
Object Detection (Q)
|
85% |
14941
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
50722
602.7 IPS |
|
|
Face Detection (HP)
|
100% |
68170
810.0 IPS |
|
|
Face Detection (Q)
|
97% |
42867
511.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
83238
641.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
152949
1.18 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63400
506.4 IPS |
|
|
Style Transfer (SP)
|
100% |
405401
521.1 IPS |
|
|
Style Transfer (HP)
|
100% |
922435
1.19 KIPS |
|
|
Style Transfer (Q)
|
98% |
351001
452.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54165
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75946
2.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40501
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3348
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2024
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5665
97.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5601
96.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2648
49.7 IPS |
