LENOVO 83D4
Geekbench AI Score
14262
Single Precision Score
24183
Half Precision Score
11033
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 07:33 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| 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% |
5515
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
9566
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
4936
917.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10022
162.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13666
221.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9171
149.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
69526
81.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
218067
254.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
60920
71.3 IPS |
|
|
Object Detection (SP)
|
100% |
6975
553.3 IPS |
|
|
Object Detection (HP)
|
100% |
11181
886.9 IPS |
|
|
Object Detection (Q)
|
89% |
5903
472.5 IPS |
|
|
Face Detection (SP)
|
100% |
14900
177.0 IPS |
|
|
Face Detection (HP)
|
100% |
24016
285.4 IPS |
|
|
Face Detection (Q)
|
97% |
12385
147.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
31954
246.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
65175
502.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
26374
211.9 IPS |
|
|
Style Transfer (SP)
|
100% |
119672
153.8 IPS |
|
|
Style Transfer (HP)
|
100% |
296475
381.1 IPS |
|
|
Style Transfer (Q)
|
98% |
106612
137.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24055
888.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38291
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18071
669.1 IPS |
|
|
Text Classification (SP)
|
100% |
2866
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
3390
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1757
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3308
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3563
61.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1486
33.1 IPS |
