LENOVO 83EX
Geekbench AI Score
2133
Single Precision Score
1085
Half Precision Score
3719
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | heartcrazed |
| Upload Date | February 09 2025 12:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1741
323.8 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.6 IPS |
|
|
Image Classification (Q)
|
96% |
3247
606.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
1999
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3589
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3463
4.04 IPS |
|
|
Pose Estimation (Q)
|
86% |
9394
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (HP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (Q)
|
58% |
2337
255.4 IPS |
|
|
Face Detection (SP)
|
100% |
2697
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
1041
12.4 IPS |
|
|
Face Detection (Q)
|
96% |
5860
69.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4723
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1807
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9115
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10347
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8862
11.4 IPS |
|
|
Style Transfer (Q)
|
87% |
11986
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1760
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1507
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2274
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
1129
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
609
812.3 IPS |
|
|
Text Classification (Q)
|
97% |
1354
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (Q)
|
68% |
1802
34.8 IPS |
