LENOVO 30GL003GUS
Geekbench AI Score
10082
Single Precision Score
17914
Half Precision Score
7295
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 07:31 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 12GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30GL003GUS |
| Motherboard | LENOVO 1060 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 PRO 5945 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4422
822.3 IPS |
|
|
Image Classification (HP)
|
100% |
8625
1.60 KIPS |
|
|
Image Classification (Q)
|
100% |
3467
644.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5999
97.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7654
124.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5167
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
45495
53.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147065
171.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
39435
46.2 IPS |
|
|
Object Detection (SP)
|
100% |
5271
418.1 IPS |
|
|
Object Detection (HP)
|
100% |
9991
792.5 IPS |
|
|
Object Detection (Q)
|
89% |
4300
344.2 IPS |
|
|
Face Detection (SP)
|
100% |
11465
136.2 IPS |
|
|
Face Detection (HP)
|
100% |
18908
224.7 IPS |
|
|
Face Detection (Q)
|
97% |
9009
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22649
174.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
52313
403.0 IPS |
|
|
Depth Estimation (Q)
|
74% |
16702
135.8 IPS |
|
|
Style Transfer (SP)
|
100% |
80697
103.7 IPS |
|
|
Style Transfer (HP)
|
100% |
251029
322.7 IPS |
|
|
Style Transfer (Q)
|
98% |
71780
92.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16829
621.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31114
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11311
418.8 IPS |
|
|
Text Classification (SP)
|
100% |
1944
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1137
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1012
22.6 IPS |
