LENOVO 30A8S1WQ00
Geekbench AI Score
2926
Single Precision Score
2842
Half Precision Score
2638
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | meltymon |
| Upload Date | July 09 2025 04:30 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2697 v3 @ 2.60GHz |
| 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% |
1699
315.9 IPS |
|
|
Image Classification (HP)
|
100% |
1667
310.0 IPS |
|
|
Image Classification (Q)
|
100% |
1792
333.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2361
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3660
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
3638
4.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
4462
5.23 IPS |
|
|
Object Detection (SP)
|
100% |
1735
137.6 IPS |
|
|
Object Detection (HP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (Q)
|
87% |
1841
147.6 IPS |
|
|
Face Detection (SP)
|
100% |
4842
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
4752
56.5 IPS |
|
|
Face Detection (Q)
|
97% |
5495
65.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4491
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4089
31.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
4986
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11211
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11350
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
12731
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2238
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2531
93.8 IPS |
|
|
Text Classification (SP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1497
2.00 KIPS |
|
|
Text Classification (Q)
|
91% |
271
363.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2099
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1999
34.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1969
33.9 IPS |
