LENOVO 21J3CTO1WW
Geekbench AI Score
1830
Single Precision Score
883
Half Precision Score
3692
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | March 08 2025 12:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U |
| 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% |
1406
261.5 IPS |
|
|
Image Classification (HP)
|
100% |
382
71.0 IPS |
|
|
Image Classification (Q)
|
99% |
5538
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1846
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2923
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2319
2.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
11052
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.5 IPS |
|
|
Object Detection (Q)
|
86% |
3527
283.4 IPS |
|
|
Face Detection (SP)
|
100% |
3020
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
921
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
5239
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3628
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1290
9.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
4788
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6248
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
5593
7.19 IPS |
|
|
Style Transfer (Q)
|
98% |
14165
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1514
56.1 IPS |
|
|
Text Classification (SP)
|
100% |
1111
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
495
660.5 IPS |
|
|
Text Classification (Q)
|
97% |
1236
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
65% |
1780
35.8 IPS |
