LENOVO 83D4
Geekbench AI Score
3174
Single Precision Score
3115
Half Precision Score
7748
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 07:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83D4 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1776
330.2 IPS |
|
|
Image Classification (HP)
|
100% |
1795
333.8 IPS |
|
|
Image Classification (Q)
|
100% |
4888
909.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2489
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4864
78.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4891
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4511
5.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
15815
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1907
151.3 IPS |
|
|
Object Detection (HP)
|
100% |
1902
150.9 IPS |
|
|
Object Detection (Q)
|
88% |
5038
403.8 IPS |
|
|
Face Detection (SP)
|
100% |
5870
69.8 IPS |
|
|
Face Detection (HP)
|
100% |
5881
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
11800
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5351
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5303
40.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
12693
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14701
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13846
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
41605
53.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2672
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2440
90.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9034
334.5 IPS |
|
|
Text Classification (SP)
|
100% |
856
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
92% |
3098
4.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2430
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2362
40.7 IPS |
