Lenovo P5 LENOVO 30GA0013US
Geekbench AI Score
15635
Single Precision Score
22771
Half Precision Score
10181
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RiversC |
| Upload Date | September 25 2024 03:00 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A5500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | LENOVO 30GA0013US |
| Motherboard | LENOVO 1055 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon w5-2445 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6613
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
8790
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
4426
823.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7695
124.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10741
174.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6602
107.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
121715
142.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
253424
295.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
97834
114.6 IPS |
|
|
Object Detection (SP)
|
100% |
8116
643.8 IPS |
|
|
Object Detection (HP)
|
100% |
10169
806.6 IPS |
|
|
Object Detection (Q)
|
89% |
5439
435.5 IPS |
|
|
Face Detection (SP)
|
100% |
18204
216.3 IPS |
|
|
Face Detection (HP)
|
100% |
22454
266.8 IPS |
|
|
Face Detection (Q)
|
97% |
12302
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
43280
333.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
74704
575.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
26357
212.4 IPS |
|
|
Style Transfer (SP)
|
100% |
179994
231.4 IPS |
|
|
Style Transfer (HP)
|
100% |
425204
546.6 IPS |
|
|
Style Transfer (Q)
|
98% |
140804
181.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27821
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37345
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16086
595.7 IPS |
|
|
Text Classification (SP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (HP)
|
99% |
2736
3.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1128
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1990
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (Q)
|
60% |
929
20.7 IPS |
