LENOVO 12RQ003PGE
Geekbench AI Score
2454
Single Precision Score
1305
Half Precision Score
3631
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | January 03 2026 05:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1501
279.2 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.3 IPS |
|
|
Image Classification (Q)
|
99% |
3615
674.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2140
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4115
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
3599
4.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
18194
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
88% |
1681
134.7 IPS |
|
|
Face Detection (SP)
|
100% |
2856
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
1541
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
4778
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5029
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1990
15.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5841
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10205
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9326
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22812
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3103
114.9 IPS |
|
|
Text Classification (SP)
|
100% |
1520
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
673
897.6 IPS |
|
|
Text Classification (Q)
|
97% |
421
563.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1959
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2028
45.2 IPS |
