LENOVO 30EV0011US
Geekbench AI Score
24043
Single Precision Score
35996
Half Precision Score
14720
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Patrick_ServeTheHome |
| Upload Date | December 06 2025 12:20 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A6000 |
| 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% |
9245
1.72 KIPS |
|
|
Image Classification (HP)
|
99% |
12877
2.40 KIPS |
|
|
Image Classification (Q)
|
100% |
6326
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17253
279.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25372
411.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12160
197.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
176678
206.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
356312
415.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
128532
150.6 IPS |
|
|
Object Detection (SP)
|
100% |
11644
923.6 IPS |
|
|
Object Detection (HP)
|
100% |
16092
1.28 KIPS |
|
|
Object Detection (Q)
|
85% |
7962
640.5 IPS |
|
|
Face Detection (SP)
|
100% |
30817
366.2 IPS |
|
|
Face Detection (HP)
|
100% |
44517
529.0 IPS |
|
|
Face Detection (Q)
|
97% |
20626
245.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
62173
479.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
106221
818.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
36700
293.9 IPS |
|
|
Style Transfer (SP)
|
100% |
261110
335.7 IPS |
|
|
Style Transfer (HP)
|
100% |
608851
782.7 IPS |
|
|
Style Transfer (Q)
|
98% |
186968
241.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35069
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48288
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20587
762.3 IPS |
|
|
Text Classification (SP)
|
100% |
2721
3.63 KIPS |
|
|
Text Classification (HP)
|
99% |
3365
4.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1393
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4121
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4168
71.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1495
28.0 IPS |
