LENOVO 30GL003GUS
Geekbench AI Score
4892
Single Precision Score
4692
Half Precision Score
7137
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Windows AVX2
Result Information
| Upload Date | September 02 2025 05:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 PRO 5945 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 30GL003GUS |
| Motherboard | LENOVO 1060 |
| Power Plan | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2845
529.1 IPS |
|
|
Image Classification (HP)
|
100% |
2708
503.5 IPS |
|
|
Image Classification (Q)
|
100% |
4865
904.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3894
63.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3778
61.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6970
113.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7178
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
7231
8.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
16705
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3181
252.3 IPS |
|
|
Object Detection (HP)
|
100% |
3056
242.4 IPS |
|
|
Object Detection (Q)
|
87% |
5719
458.7 IPS |
|
|
Face Detection (SP)
|
100% |
7230
85.9 IPS |
|
|
Face Detection (HP)
|
100% |
6901
82.0 IPS |
|
|
Face Detection (Q)
|
97% |
15246
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8045
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7841
60.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
15565
122.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21673
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21864
28.1 IPS |
|
|
Style Transfer (Q)
|
98% |
46974
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4329
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4332
160.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9004
333.5 IPS |
|
|
Text Classification (SP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2086
2.78 KIPS |
|
|
Text Classification (Q)
|
91% |
423
568.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2726
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2140
36.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2495
43.0 IPS |
