LENOVO 30B9S01500
Geekbench AI Score
11697
Single Precision Score
17649
Half Precision Score
8118
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | evs9k |
| Upload Date | October 03 2024 09:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro RTX 5000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Datacenter (64-bit) |
| Model | LENOVO 30B9S01500 |
| Motherboard | LENOVO 1031 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697A v4 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4508
838.4 IPS |
|
|
Image Classification (HP)
|
100% |
6050
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
3570
663.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7101
115.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9109
147.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5820
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
78069
91.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
198772
231.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62023
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
5777
458.2 IPS |
|
|
Object Detection (HP)
|
100% |
8410
667.1 IPS |
|
|
Object Detection (Q)
|
89% |
4342
347.5 IPS |
|
|
Face Detection (SP)
|
100% |
11828
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
17172
204.0 IPS |
|
|
Face Detection (Q)
|
97% |
9027
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
34008
262.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
55312
426.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
22716
182.9 IPS |
|
|
Style Transfer (SP)
|
100% |
134663
173.1 IPS |
|
|
Style Transfer (HP)
|
100% |
295294
379.6 IPS |
|
|
Style Transfer (Q)
|
98% |
102429
132.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20440
754.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28015
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12643
468.1 IPS |
|
|
Text Classification (SP)
|
100% |
1379
1.84 KIPS |
|
|
Text Classification (HP)
|
99% |
1834
2.45 KIPS |
|
|
Text Classification (Q)
|
97% |
882
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2176
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2209
38.0 IPS |
|
|
Machine Translation (Q)
|
60% |
949
21.2 IPS |
