LENOVO 83CV
Geekbench AI Score
8069
Single Precision Score
11702
Half Precision Score
16632
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | bustermoddy |
| Upload Date | September 06 2024 04:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5396
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
7389
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
8523
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4992
80.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11077
179.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
15236
247.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22183
25.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
18695
21.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
60316
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
4913
389.7 IPS |
|
|
Object Detection (HP)
|
100% |
7415
588.2 IPS |
|
|
Object Detection (Q)
|
88% |
10483
840.1 IPS |
|
|
Face Detection (SP)
|
100% |
9763
116.0 IPS |
|
|
Face Detection (HP)
|
100% |
19275
229.0 IPS |
|
|
Face Detection (Q)
|
100% |
28642
340.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19268
148.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
32286
249.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
36251
281.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52211
67.1 IPS |
|
|
Style Transfer (HP)
|
100% |
70401
90.5 IPS |
|
|
Style Transfer (Q)
|
98% |
144577
186.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9110
336.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14989
553.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19641
727.4 IPS |
|
|
Text Classification (SP)
|
71% |
1909
2.76 KIPS |
|
|
Text Classification (HP)
|
71% |
2225
3.22 KIPS |
|
|
Text Classification (Q)
|
92% |
2309
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (HP)
|
96% |
2906
50.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2899
49.9 IPS |
