LENOVO 30BDS0M202
Geekbench AI Score
15931
Single Precision Score
21201
Half Precision Score
10898
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hshamilt |
| Upload Date | March 16 2025 03:21 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 30BDS0M202 |
| Motherboard | LENOVO 1038 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel Xeon Platinum 8168 |
| Topology | 2 Processors, 48 Cores, 96 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6249
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
8040
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
4526
841.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6930
112.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7891
127.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5981
97.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
145089
169.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
254170
296.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
111045
130.1 IPS |
|
|
Object Detection (SP)
|
100% |
7660
607.6 IPS |
|
|
Object Detection (HP)
|
100% |
8862
703.0 IPS |
|
|
Object Detection (Q)
|
85% |
5602
450.6 IPS |
|
|
Face Detection (SP)
|
100% |
17283
205.4 IPS |
|
|
Face Detection (HP)
|
100% |
19404
230.6 IPS |
|
|
Face Detection (Q)
|
97% |
13383
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
48498
373.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71105
547.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
31192
249.8 IPS |
|
|
Style Transfer (SP)
|
100% |
221680
285.0 IPS |
|
|
Style Transfer (HP)
|
100% |
428163
550.4 IPS |
|
|
Style Transfer (Q)
|
98% |
164741
212.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28005
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42100
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17967
665.3 IPS |
|
|
Text Classification (SP)
|
100% |
2227
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
2764
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1103
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1888
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1868
32.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1030
19.3 IPS |
