LENOVO 30A8S1WQ00
Geekbench AI Score
949
Single Precision Score
438
Half Precision Score
1030
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | meltymon |
| Upload Date | July 09 2025 04:27 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2697 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 30A8S1WQ00 |
| Motherboard | LENOVO 1030 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697 v3 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 160.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
642
119.5 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.3 IPS |
|
|
Image Classification (Q)
|
96% |
1212
226.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
228
3.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
726
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1665
1.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1546
1.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
2382
2.82 IPS |
|
|
Object Detection (SP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (HP)
|
100% |
206
16.4 IPS |
|
|
Object Detection (Q)
|
58% |
630
68.8 IPS |
|
|
Face Detection (SP)
|
100% |
1871
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
458
5.45 IPS |
|
|
Face Detection (Q)
|
96% |
1772
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1778
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
584
4.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
1879
15.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4187
5.38 IPS |
|
|
Style Transfer (HP)
|
100% |
3278
4.21 IPS |
|
|
Style Transfer (Q)
|
87% |
4164
5.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
609
22.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
732
27.1 IPS |
|
|
Text Classification (SP)
|
100% |
427
569.3 IPS |
|
|
Text Classification (HP)
|
100% |
219
292.4 IPS |
|
|
Text Classification (Q)
|
97% |
137
184.1 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.75 IPS |
|
|
Machine Translation (Q)
|
68% |
735
14.2 IPS |
