LENOVO 21J2
Geekbench AI Score
8025
Single Precision Score
11622
Half Precision Score
5940
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 20 2026 11:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21J2 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840H with Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3196
594.4 IPS |
|
|
Image Classification (HP)
|
100% |
4815
895.4 IPS |
|
|
Image Classification (Q)
|
100% |
2888
537.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4008
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4675
75.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3291
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
41284
48.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
74828
87.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
29431
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (HP)
|
100% |
3752
297.6 IPS |
|
|
Object Detection (Q)
|
87% |
2461
197.7 IPS |
|
|
Face Detection (SP)
|
100% |
5884
69.9 IPS |
|
|
Face Detection (HP)
|
100% |
10514
124.9 IPS |
|
|
Face Detection (Q)
|
97% |
4955
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17719
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26565
204.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13450
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
73136
94.0 IPS |
|
|
Style Transfer (HP)
|
100% |
116454
149.7 IPS |
|
|
Style Transfer (Q)
|
98% |
48517
62.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13861
511.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22414
827.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9235
342.0 IPS |
|
|
Text Classification (SP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1634
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3174
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3369
58.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1630
30.6 IPS |
