LENOVO 83CV
Geekbench AI Score
7961
Single Precision Score
11529
Half Precision Score
16763
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | bustermoddy |
| Upload Date | August 19 2024 04:38 PM |
| 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% |
5231
972.8 IPS |
|
|
Image Classification (HP)
|
100% |
6996
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
8015
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4848
78.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10899
176.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14846
240.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
21951
25.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
18700
21.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
63757
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
5035
399.3 IPS |
|
|
Object Detection (HP)
|
100% |
7645
606.4 IPS |
|
|
Object Detection (Q)
|
88% |
10446
837.1 IPS |
|
|
Face Detection (SP)
|
100% |
9803
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
18937
225.0 IPS |
|
|
Face Detection (Q)
|
100% |
28942
343.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18964
146.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
32895
254.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
40764
323.6 IPS |
|
|
Style Transfer (SP)
|
100% |
52229
67.1 IPS |
|
|
Style Transfer (HP)
|
100% |
65916
84.7 IPS |
|
|
Style Transfer (Q)
|
98% |
146546
189.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9017
332.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14068
519.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19286
714.2 IPS |
|
|
Text Classification (SP)
|
71% |
1823
2.64 KIPS |
|
|
Text Classification (HP)
|
71% |
2370
3.43 KIPS |
|
|
Text Classification (Q)
|
92% |
2430
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2781
48.1 IPS |
|
|
Machine Translation (Q)
|
89% |
2729
47.4 IPS |
