LENOVO 21J3CTO1WW
Geekbench AI Score
2743
Single Precision Score
4955
Half Precision Score
2024
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | March 08 2025 12:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21J3CTO1WW |
| Motherboard | LENOVO 21J3CTO1WW |
| 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% |
982
182.6 IPS |
|
|
Image Classification (HP)
|
100% |
1459
271.3 IPS |
|
|
Image Classification (Q)
|
100% |
894
166.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1241
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1005
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
14219
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
37486
43.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14708
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
969
76.8 IPS |
|
|
Object Detection (HP)
|
100% |
1794
142.3 IPS |
|
|
Object Detection (Q)
|
87% |
860
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
1891
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
3747
44.5 IPS |
|
|
Face Detection (Q)
|
97% |
1579
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6528
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13336
102.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4829
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31787
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
63668
81.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17304
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5032
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8359
308.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3239
119.9 IPS |
|
|
Text Classification (SP)
|
100% |
820
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1641
2.19 KIPS |
|
|
Text Classification (Q)
|
97% |
375
502.4 IPS |
|
|
Machine Translation (SP)
|
100% |
887
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
950
16.4 IPS |
|
|
Machine Translation (Q)
|
70% |
634
11.9 IPS |
