LENOVO 83EX
Geekbench AI Score
3629
Single Precision Score
3650
Half Precision Score
6914
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 08:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83EX |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2696
501.4 IPS |
|
|
Image Classification (HP)
|
100% |
2772
515.5 IPS |
|
|
Image Classification (Q)
|
100% |
5203
967.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1070
17.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3879
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
6502
7.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
14074
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
2352
186.5 IPS |
|
|
Object Detection (Q)
|
87% |
4937
395.9 IPS |
|
|
Face Detection (SP)
|
100% |
4094
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
4022
47.8 IPS |
|
|
Face Detection (Q)
|
97% |
12420
148.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7260
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7297
56.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
13179
104.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18290
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18093
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39345
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3582
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3659
135.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8098
299.9 IPS |
|
|
Text Classification (SP)
|
100% |
1631
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1695
2.26 KIPS |
|
|
Text Classification (Q)
|
91% |
1232
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2780
47.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2814
48.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2772
47.7 IPS |
