LENOVO 21F8002TGE
Geekbench AI Score
4429
Single Precision Score
4482
Half Precision Score
13040
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ahofmann |
| Upload Date | January 09 2026 11:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U w/ Radeon 780M Graphics |
| 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% |
2757
512.8 IPS |
|
|
Image Classification (HP)
|
100% |
2837
527.6 IPS |
|
|
Image Classification (Q)
|
100% |
8778
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2575
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2616
42.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8460
137.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5990
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
6022
7.03 IPS |
|
|
Pose Estimation (Q)
|
98% |
23754
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2615
207.4 IPS |
|
|
Object Detection (HP)
|
100% |
2499
198.2 IPS |
|
|
Object Detection (Q)
|
88% |
8480
679.8 IPS |
|
|
Face Detection (SP)
|
100% |
5433
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
6051
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
20813
247.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7381
56.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7092
54.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
21253
165.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15978
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16168
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
62636
80.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3471
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3504
129.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12046
446.1 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (Q)
|
92% |
4944
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3999
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4066
70.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5761
99.2 IPS |
