LENOVO 12RQ003PGE
Geekbench AI Score
7082
Single Precision Score
10518
Half Precision Score
5334
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | January 03 2026 06:14 PM |
| Views | 6 |
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% |
2853
530.7 IPS |
|
|
Image Classification (HP)
|
100% |
3870
719.7 IPS |
|
|
Image Classification (Q)
|
100% |
2648
492.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3637
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4626
75.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2983
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32845
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
62215
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
24757
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
3237
256.8 IPS |
|
|
Object Detection (Q)
|
87% |
2246
180.4 IPS |
|
|
Face Detection (SP)
|
100% |
5551
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
10275
122.1 IPS |
|
|
Face Detection (Q)
|
97% |
4649
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15411
118.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24457
188.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
12249
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56521
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95907
123.3 IPS |
|
|
Style Transfer (Q)
|
98% |
38097
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12195
450.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19988
738.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8035
297.5 IPS |
|
|
Text Classification (SP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1526
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1596
29.9 IPS |
