LENOVO 30EV0011US
Geekbench AI Score
9149
Single Precision Score
6007
Half Precision Score
25496
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | December 06 2025 12:25 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 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% |
5167
960.9 IPS |
|
|
Image Classification (HP)
|
100% |
4405
819.2 IPS |
|
|
Image Classification (Q)
|
100% |
11604
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7831
126.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23029
373.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15802
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9387
11.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
164683
192.8 IPS |
|
|
Object Detection (SP)
|
100% |
5319
421.9 IPS |
|
|
Object Detection (HP)
|
100% |
4453
353.2 IPS |
|
|
Object Detection (Q)
|
88% |
11862
950.8 IPS |
|
|
Face Detection (SP)
|
100% |
16971
201.7 IPS |
|
|
Face Detection (HP)
|
100% |
11578
137.6 IPS |
|
|
Face Detection (Q)
|
100% |
31049
368.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15201
117.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11624
89.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
45041
350.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43687
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23811
30.6 IPS |
|
|
Style Transfer (Q)
|
98% |
374218
482.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8063
297.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5142
189.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24989
925.4 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
3178
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4562
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4471
77.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5352
92.2 IPS |
