LENOVO 21F8002TGE
Geekbench AI Score
7137
Single Precision Score
10016
Half Precision Score
5497
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ahofmann |
| Upload Date | January 09 2026 11:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21F8002TGE |
| Motherboard | LENOVO 21F8002TGE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3039
565.1 IPS |
|
|
Image Classification (HP)
|
100% |
4045
752.2 IPS |
|
|
Image Classification (Q)
|
100% |
2689
500.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3865
62.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4469
72.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3140
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
32244
37.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
58175
67.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
25851
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
100% |
3563
282.6 IPS |
|
|
Object Detection (Q)
|
87% |
2362
189.7 IPS |
|
|
Face Detection (SP)
|
100% |
5951
70.7 IPS |
|
|
Face Detection (HP)
|
100% |
10466
124.4 IPS |
|
|
Face Detection (Q)
|
97% |
5037
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15271
117.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23741
182.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
12672
101.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55952
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94849
121.9 IPS |
|
|
Style Transfer (Q)
|
98% |
42581
54.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11768
434.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19123
706.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7993
296.0 IPS |
|
|
Text Classification (SP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1430
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3236
55.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1573
29.5 IPS |
