LENOVO 12RQ003PGE
Geekbench AI Score
2130
Single Precision Score
2115
Half Precision Score
5859
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | January 03 2026 07:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 PRO 8300G w/ Radeon 740M 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 3 PRO 8300G w/ Radeon 740M Graphics |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 25 Model 120 Stepping 0 |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
1489
276.9 IPS |
|
|
Image Classification (Q)
|
100% |
3816
709.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2462
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2554
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2497
2.91 IPS |
|
|
Pose Estimation (Q)
|
98% |
9736
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1228
97.4 IPS |
|
|
Object Detection (HP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (Q)
|
88% |
3458
277.2 IPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (Q)
|
100% |
10747
127.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3506
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3345
25.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
9325
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6568
8.44 IPS |
|
|
Style Transfer (HP)
|
100% |
6656
8.56 IPS |
|
|
Style Transfer (Q)
|
98% |
25021
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1445
53.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5602
207.5 IPS |
|
|
Text Classification (SP)
|
100% |
1708
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1751
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
3497
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2364
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2234
38.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3069
52.9 IPS |
