LENOVO P520 + RTX 3070 LENOVO 30BFS0NH0S
Geekbench AI Score
7000
Single Precision Score
7003
Half Precision Score
9455
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | blademan |
| Upload Date | July 27 2025 07:47 PM |
| Views | 5 |
| Notes | 30BFS0NH0S |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-2155 CPU @ 3.30GHz |
| 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% |
4166
774.7 IPS |
|
|
Image Classification (HP)
|
100% |
4085
759.7 IPS |
|
|
Image Classification (Q)
|
100% |
6092
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5691
92.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5678
92.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7874
128.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11895
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11906
13.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
18719
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
3964
314.4 IPS |
|
|
Object Detection (HP)
|
100% |
4040
320.5 IPS |
|
|
Object Detection (Q)
|
87% |
6334
508.0 IPS |
|
|
Face Detection (SP)
|
100% |
9286
110.3 IPS |
|
|
Face Detection (HP)
|
100% |
9273
110.2 IPS |
|
|
Face Detection (Q)
|
97% |
17752
211.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12385
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12457
96.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
16274
128.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33705
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33928
43.6 IPS |
|
|
Style Transfer (Q)
|
98% |
48823
63.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6463
238.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6472
239.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9506
352.1 IPS |
|
|
Text Classification (SP)
|
100% |
2660
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (Q)
|
91% |
2001
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3793
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3789
65.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3745
64.5 IPS |
