LENOVO 12RQ003PGE
Geekbench AI Score
6656
Single Precision Score
9995
Half Precision Score
4803
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | January 03 2026 06:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD 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% |
2539
472.2 IPS |
|
|
Image Classification (HP)
|
100% |
3454
642.3 IPS |
|
|
Image Classification (Q)
|
100% |
2159
401.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3529
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4401
71.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2866
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
33081
38.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62745
73.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24354
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
3054
242.3 IPS |
|
|
Object Detection (Q)
|
89% |
1812
145.0 IPS |
|
|
Face Detection (SP)
|
100% |
4994
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
8672
103.0 IPS |
|
|
Face Detection (Q)
|
97% |
3820
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14876
114.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22300
171.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
10643
85.8 IPS |
|
|
Style Transfer (SP)
|
100% |
54873
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96764
124.4 IPS |
|
|
Style Transfer (Q)
|
98% |
39043
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11686
431.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19777
730.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7879
291.7 IPS |
|
|
Text Classification (SP)
|
100% |
2002
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1569
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2682
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2893
49.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1220
27.2 IPS |
