LENOVO 83CV
Geekbench AI Score
2860
Single Precision Score
1151
Half Precision Score
2203
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | bustermoddy |
| Upload Date | August 19 2024 04:16 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
966
179.7 IPS |
|
|
Image Classification (HP)
|
0% |
0
656.2 IPS |
|
|
Image Classification (Q)
|
100% |
884
164.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6383
103.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1271
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13023
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17136
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11349
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (HP)
|
0% |
0
311.0 IPS |
|
|
Object Detection (Q)
|
89% |
899
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
7410
88.0 IPS |
|
|
Face Detection (Q)
|
97% |
1159
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5984
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17301
133.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
4867
39.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37418
48.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50848
65.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29793
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6145
226.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8169
301.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4349
161.1 IPS |
|
|
Text Classification (SP)
|
86% |
729
986.4 IPS |
|
|
Text Classification (HP)
|
99% |
504
672.4 IPS |
|
|
Text Classification (Q)
|
83% |
520
707.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1392
24.0 IPS |
|
|
Machine Translation (Q)
|
60% |
619
13.8 IPS |
