LENOVO ThinkServer TS140
Geekbench AI Score
1328
Single Precision Score
1345
Half Precision Score
974
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JustinGT86 |
| Upload Date | March 24 2025 07:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro K620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | LENOVO ThinkServer TS140 |
| Motherboard | LENOVO ThinkServer TS140 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1225 v3 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.7 IPS |
|
|
Image Classification (Q)
|
99% |
429
80.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
537
8.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
4358
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4042
4.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
3780
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (HP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
83% |
525
42.5 IPS |
|
|
Face Detection (SP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
847
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2266
17.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2268
17.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1836
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6830
8.78 IPS |
|
|
Style Transfer (HP)
|
100% |
6798
8.74 IPS |
|
|
Style Transfer (Q)
|
98% |
5812
7.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1363
50.5 IPS |
|
|
Text Classification (SP)
|
100% |
638
851.4 IPS |
|
|
Text Classification (HP)
|
100% |
746
996.0 IPS |
|
|
Text Classification (Q)
|
97% |
333
446.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
96% |
993
17.2 IPS |
|
|
Machine Translation (Q)
|
70% |
412
7.74 IPS |
