LENOVO ThinkServer TS140
Geekbench AI Score
1952
Single Precision Score
1947
Half Precision Score
2146
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JustinGT86 |
| Upload Date | March 24 2025 07:44 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E3-1225 v3 @ 3.20GHz |
| 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% |
1157
215.2 IPS |
|
|
Image Classification (HP)
|
100% |
1163
216.3 IPS |
|
|
Image Classification (Q)
|
100% |
1359
252.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1520
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2543
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2565
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
2847
3.34 IPS |
|
|
Object Detection (SP)
|
100% |
1141
90.5 IPS |
|
|
Object Detection (HP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (Q)
|
87% |
1325
106.3 IPS |
|
|
Face Detection (SP)
|
100% |
2286
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2276
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
3667
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3038
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2935
22.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
3478
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6936
8.92 IPS |
|
|
Style Transfer (HP)
|
100% |
6864
8.82 IPS |
|
|
Style Transfer (Q)
|
98% |
8174
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1466
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1714
63.5 IPS |
|
|
Text Classification (SP)
|
100% |
1485
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1465
1.95 KIPS |
|
|
Text Classification (Q)
|
91% |
770
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1947
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1935
33.3 IPS |
