LENOVO 21J3CTO1WW
Geekbench AI Score
2955
Single Precision Score
1332
Half Precision Score
5104
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 16 2025 04:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
2496
464.2 IPS |
|
|
Image Classification (HP)
|
100% |
557
103.7 IPS |
|
|
Image Classification (Q)
|
99% |
6207
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2399
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4601
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3851
4.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
16411
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2266
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
550
43.7 IPS |
|
|
Object Detection (Q)
|
86% |
4998
401.7 IPS |
|
|
Face Detection (SP)
|
100% |
4636
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
1504
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
9017
107.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6896
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2279
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7517
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11323
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10369
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
20799
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2244
82.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1858
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1922
71.2 IPS |
|
|
Text Classification (SP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
717
957.4 IPS |
|
|
Text Classification (Q)
|
97% |
1736
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1808
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
65% |
2091
42.0 IPS |
