LENOVO 83JC
Geekbench AI Score
4025
Single Precision Score
4027
Half Precision Score
7223
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | September 23 2024 07:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 83JC |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7435HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2927
544.4 IPS |
|
|
Image Classification (HP)
|
100% |
3023
562.3 IPS |
|
|
Image Classification (Q)
|
100% |
4954
921.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4476
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6297
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
6349
7.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
13044
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2808
222.7 IPS |
|
|
Object Detection (HP)
|
100% |
2717
215.5 IPS |
|
|
Object Detection (Q)
|
87% |
4974
399.0 IPS |
|
|
Face Detection (SP)
|
100% |
5848
69.5 IPS |
|
|
Face Detection (HP)
|
100% |
5835
69.3 IPS |
|
|
Face Detection (Q)
|
97% |
13753
164.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7836
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7764
59.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
13014
102.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17716
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18005
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
36463
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3512
129.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3504
129.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7474
276.8 IPS |
|
|
Text Classification (SP)
|
100% |
1680
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1646
2.20 KIPS |
|
|
Text Classification (Q)
|
91% |
1378
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4048
69.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4101
70.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3998
68.9 IPS |
