LENOVO 83CV
Geekbench AI Score
2484
Single Precision Score
1001
Half Precision Score
1911
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | bustermoddy |
| Upload Date | August 19 2024 11:37 AM |
| Views | 2 |
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% |
846
157.4 IPS |
|
|
Image Classification (HP)
|
0% |
0
475.4 IPS |
|
|
Image Classification (Q)
|
100% |
794
147.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5116
82.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1156
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11864
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16570
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
10162
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
964
76.4 IPS |
|
|
Object Detection (HP)
|
0% |
0
251.7 IPS |
|
|
Object Detection (Q)
|
89% |
833
66.6 IPS |
|
|
Face Detection (SP)
|
100% |
1107
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
6309
75.0 IPS |
|
|
Face Detection (Q)
|
97% |
995
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5635
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15138
117.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
4534
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
34788
44.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48467
62.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28301
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5528
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6606
243.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3713
137.5 IPS |
|
|
Text Classification (SP)
|
86% |
530
716.3 IPS |
|
|
Text Classification (HP)
|
99% |
381
508.2 IPS |
|
|
Text Classification (Q)
|
83% |
343
466.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
60% |
515
11.5 IPS |
