LENOVO 83EX
Geekbench AI Score
3587
Single Precision Score
3602
Half Precision Score
6317
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | heartcrazed |
| Upload Date | February 09 2025 12:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7435HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83EX |
| 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% |
2681
498.6 IPS |
|
|
Image Classification (HP)
|
100% |
2617
486.7 IPS |
|
|
Image Classification (Q)
|
100% |
4751
883.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3798
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6168
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
6172
7.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
13054
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2264
179.5 IPS |
|
|
Object Detection (HP)
|
100% |
2076
164.7 IPS |
|
|
Object Detection (Q)
|
87% |
4203
337.1 IPS |
|
|
Face Detection (SP)
|
100% |
3823
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3774
44.8 IPS |
|
|
Face Detection (Q)
|
97% |
11868
141.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5556
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6039
46.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
10967
86.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15464
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16012
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
36212
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3212
118.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3242
119.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7302
270.5 IPS |
|
|
Text Classification (SP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3118
4.16 KIPS |
|
|
Text Classification (Q)
|
91% |
1169
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2512
43.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2542
43.8 IPS |
