LENOVO 30BDS0M202
Geekbench AI Score
14973
Single Precision Score
20387
Half Precision Score
10262
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | hshamilt |
| Upload Date | March 16 2025 03:19 AM |
| Views | 10 |
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% |
6514
1.21 KIPS |
|
|
Image Classification (HP)
|
99% |
8288
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
4418
821.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6702
108.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7279
118.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5692
92.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
118992
138.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
232044
270.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
95521
111.9 IPS |
|
|
Object Detection (SP)
|
100% |
7133
565.8 IPS |
|
|
Object Detection (HP)
|
100% |
8577
680.3 IPS |
|
|
Object Detection (Q)
|
85% |
5662
455.4 IPS |
|
|
Face Detection (SP)
|
100% |
16922
201.1 IPS |
|
|
Face Detection (HP)
|
100% |
19581
232.7 IPS |
|
|
Face Detection (Q)
|
97% |
13223
157.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44909
346.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
66203
510.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
30432
243.7 IPS |
|
|
Style Transfer (SP)
|
100% |
196286
252.3 IPS |
|
|
Style Transfer (HP)
|
100% |
411999
529.6 IPS |
|
|
Style Transfer (Q)
|
98% |
142258
183.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27230
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38048
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15160
561.4 IPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
99% |
2932
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1119
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1734
29.9 IPS |
|
|
Machine Translation (Q)
|
70% |
981
18.4 IPS |
