LENOVO 21J1
Geekbench AI Score
7691
Single Precision Score
11003
Half Precision Score
5926
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 03 2025 06:58 PM |
| Views | 1 |
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 21J1 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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% |
3147
585.3 IPS |
|
|
Image Classification (HP)
|
100% |
3795
705.7 IPS |
|
|
Image Classification (Q)
|
100% |
2781
517.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4106
66.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4633
75.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3360
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
36103
42.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
64366
75.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
28103
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
2776
220.2 IPS |
|
|
Object Detection (HP)
|
100% |
3699
293.4 IPS |
|
|
Object Detection (Q)
|
87% |
2526
202.9 IPS |
|
|
Face Detection (SP)
|
100% |
6177
73.4 IPS |
|
|
Face Detection (HP)
|
100% |
10969
130.3 IPS |
|
|
Face Detection (Q)
|
97% |
5280
62.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17694
136.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
26090
201.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13689
109.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59428
76.4 IPS |
|
|
Style Transfer (HP)
|
100% |
99713
128.2 IPS |
|
|
Style Transfer (Q)
|
98% |
46292
59.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12626
466.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20388
752.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8753
324.1 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1648
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2954
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1669
31.3 IPS |
