LENOVO 30A0A006LM
Geekbench AI Score
9613
Single Precision Score
7722
Half Precision Score
7071
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nachitron |
| Upload Date | May 26 2025 04:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30A0A006LM |
| Motherboard | LENOVO SHARKBAY |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1281 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3941
733.0 IPS |
|
|
Image Classification (HP)
|
100% |
3690
686.3 IPS |
|
|
Image Classification (Q)
|
99% |
3286
612.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6524
105.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5460
88.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5582
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
41690
48.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
25649
29.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
36524
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
4911
389.5 IPS |
|
|
Object Detection (HP)
|
100% |
4591
364.2 IPS |
|
|
Object Detection (Q)
|
83% |
3965
320.4 IPS |
|
|
Face Detection (SP)
|
100% |
11238
133.5 IPS |
|
|
Face Detection (HP)
|
100% |
9300
110.5 IPS |
|
|
Face Detection (Q)
|
97% |
9599
114.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24130
185.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17951
138.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17692
141.2 IPS |
|
|
Style Transfer (SP)
|
100% |
74819
96.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50391
64.8 IPS |
|
|
Style Transfer (Q)
|
98% |
62949
81.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14555
537.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11079
409.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9342
345.9 IPS |
|
|
Text Classification (SP)
|
100% |
1622
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (Q)
|
97% |
957
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2675
46.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2683
46.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1231
23.1 IPS |
