LENOVO 83CV
Geekbench AI Score
7789
Single Precision Score
11599
Half Precision Score
16649
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 11:30 PM |
| Views | 2 |
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 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5173
962.0 IPS |
|
|
Image Classification (HP)
|
100% |
7460
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
8519
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4900
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11185
181.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
13648
221.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21817
25.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
17959
21.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
57419
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
4585
363.7 IPS |
|
|
Object Detection (HP)
|
100% |
7695
610.4 IPS |
|
|
Object Detection (Q)
|
88% |
10659
854.2 IPS |
|
|
Face Detection (SP)
|
100% |
10349
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
20046
238.2 IPS |
|
|
Face Detection (Q)
|
100% |
30390
361.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18274
140.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
31975
247.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
36818
286.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53241
68.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67146
86.3 IPS |
|
|
Style Transfer (Q)
|
98% |
153442
197.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8685
320.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13706
506.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20549
761.0 IPS |
|
|
Text Classification (SP)
|
71% |
1595
2.31 KIPS |
|
|
Text Classification (HP)
|
71% |
2297
3.32 KIPS |
|
|
Text Classification (Q)
|
92% |
2349
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2324
40.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2823
48.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2775
47.8 IPS |
