LENOVO 30BFS0NH0S
Geekbench AI Score
1745
Single Precision Score
759
Half Precision Score
2074
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Maditgeek |
| Upload Date | January 26 2025 01:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-2135 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 30BFS0NH0S |
| Motherboard | LENOVO 1036 |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2135 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.1 IPS |
|
|
Image Classification (HP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (Q)
|
96% |
2164
404.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
496
8.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
408
6.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
883
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3646
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3146
3.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
7279
8.60 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
301
23.9 IPS |
|
|
Object Detection (Q)
|
58% |
1498
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
691
8.21 IPS |
|
|
Face Detection (Q)
|
96% |
4224
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4226
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1027
7.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
4961
39.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8344
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6186
7.95 IPS |
|
|
Style Transfer (Q)
|
87% |
9525
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1221
45.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1225
45.4 IPS |
|
|
Text Classification (SP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
409
545.9 IPS |
|
|
Text Classification (Q)
|
97% |
276
370.2 IPS |
|
|
Machine Translation (SP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (Q)
|
68% |
1048
20.2 IPS |
