LENOVO 83CV
Geekbench AI Score
2075
Single Precision Score
481
Half Precision Score
2913
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | bustermoddy |
| Upload Date | August 19 2024 11:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83CV |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.5 IPS |
|
|
Image Classification (Q)
|
99% |
2542
474.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
1936
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4051
4.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2008
2.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
14639
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.84 IPS |
|
|
Object Detection (Q)
|
88% |
1347
108.0 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
169
2.01 IPS |
|
|
Face Detection (Q)
|
97% |
2970
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4305
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
561
4.33 IPS |
|
|
Depth Estimation (Q)
|
76% |
6200
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8364
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
4526
5.82 IPS |
|
|
Style Transfer (Q)
|
98% |
14422
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1873
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2831
104.8 IPS |
|
|
Text Classification (SP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
471
628.7 IPS |
|
|
Text Classification (Q)
|
97% |
438
586.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1280
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
418
7.21 IPS |
|
|
Machine Translation (Q)
|
60% |
1381
30.8 IPS |
