LENOVO P250 + RTX 3070 LENOVO 30BFS0NH0S
Geekbench AI Score
15016
Single Precision Score
23091
Half Precision Score
9929
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | blademan |
| Upload Date | July 27 2025 07:45 PM |
| Views | 4 |
| Notes | 30BFS0NH0S |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 30BFS0NH0S |
| Motherboard | LENOVO 1036 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2155 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6743
1.25 KIPS |
|
|
Image Classification (HP)
|
99% |
8695
1.62 KIPS |
|
|
Image Classification (Q)
|
100% |
4004
744.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9381
152.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13100
212.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7388
120.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
95204
111.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
245900
286.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
77858
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
7327
581.2 IPS |
|
|
Object Detection (HP)
|
100% |
11055
876.9 IPS |
|
|
Object Detection (Q)
|
85% |
5476
440.8 IPS |
|
|
Face Detection (SP)
|
100% |
16132
191.7 IPS |
|
|
Face Detection (HP)
|
100% |
26268
312.1 IPS |
|
|
Face Detection (Q)
|
97% |
12868
153.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
38578
297.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
62489
481.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
26677
213.7 IPS |
|
|
Style Transfer (SP)
|
100% |
160026
205.7 IPS |
|
|
Style Transfer (HP)
|
100% |
347027
446.1 IPS |
|
|
Style Transfer (Q)
|
98% |
127198
164.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24329
898.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30965
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14056
520.5 IPS |
|
|
Text Classification (SP)
|
100% |
2037
2.72 KIPS |
|
|
Text Classification (HP)
|
99% |
2972
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1049
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2678
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2655
45.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1147
21.5 IPS |
