LENOVO 30EV0011US
Geekbench AI Score
5125
Single Precision Score
1590
Half Precision Score
7943
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | December 06 2025 12:24 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Gold 5416S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 30EV0011US |
| Motherboard | LENOVO 104E |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 5416S |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4342
807.4 IPS |
|
|
Image Classification (HP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (Q)
|
99% |
7071
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10850
176.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15039
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9585
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
42721
50.1 IPS |
|
|
Object Detection (SP)
|
100% |
4266
338.3 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
86% |
7867
632.3 IPS |
|
|
Face Detection (SP)
|
100% |
10877
129.2 IPS |
|
|
Face Detection (HP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
8097
96.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12481
96.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1932
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17455
139.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26118
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19387
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25421
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3636
134.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2772
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5384
199.4 IPS |
|
|
Text Classification (SP)
|
100% |
1235
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
601
802.4 IPS |
|
|
Text Classification (Q)
|
97% |
967
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2073
41.6 IPS |
