LENOVO 30GL003GUS
Geekbench AI Score
4719
Single Precision Score
4662
Half Precision Score
7047
Quantized Score
Geekbench AI 1.5.0-Beta1 Corporate for Windows AVX2
Result Information
| Upload Date | September 02 2025 05:00 PM |
| Views | 3 |
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 | 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% |
2875
534.7 IPS |
|
|
Image Classification (HP)
|
100% |
2877
535.1 IPS |
|
|
Image Classification (Q)
|
100% |
4849
901.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3685
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3540
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6467
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6645
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
16704
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
3009
238.7 IPS |
|
|
Object Detection (HP)
|
100% |
3118
247.3 IPS |
|
|
Object Detection (Q)
|
87% |
5589
448.3 IPS |
|
|
Face Detection (SP)
|
100% |
6274
74.5 IPS |
|
|
Face Detection (HP)
|
100% |
6089
72.3 IPS |
|
|
Face Detection (Q)
|
97% |
14807
176.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7079
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7229
55.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
15776
124.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21410
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21321
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
46601
60.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4336
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4358
160.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8981
332.7 IPS |
|
|
Text Classification (SP)
|
100% |
2221
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2174
2.90 KIPS |
|
|
Text Classification (Q)
|
91% |
422
567.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2824
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2503
43.1 IPS |
