LENOVO 12RQ003PGE
Geekbench AI Score
3619
Single Precision Score
3589
Half Precision Score
10312
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | January 03 2026 05:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 8700GE w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 12RQ003PGE |
| Motherboard | LENOVO 334A |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 8700GE w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.65 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
1478
274.9 IPS |
|
|
Image Classification (Q)
|
100% |
4856
903.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3100
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4869
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
4975
5.81 IPS |
|
|
Pose Estimation (Q)
|
98% |
21487
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2353
186.6 IPS |
|
|
Object Detection (HP)
|
100% |
2267
179.9 IPS |
|
|
Object Detection (Q)
|
88% |
7803
625.5 IPS |
|
|
Face Detection (SP)
|
100% |
5363
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
5520
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
22740
270.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6730
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6227
48.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
16838
131.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13834
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14079
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
50787
65.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2914
107.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2776
102.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11268
417.3 IPS |
|
|
Text Classification (SP)
|
100% |
3372
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3330
4.44 KIPS |
|
|
Text Classification (Q)
|
92% |
4844
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3665
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3481
60.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5077
87.4 IPS |
