LENOVO 83DE
Geekbench AI Score
9067
Single Precision Score
13635
Half Precision Score
7045
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 05:06 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3096
575.8 IPS |
|
|
Image Classification (HP)
|
99% |
5241
977.5 IPS |
|
|
Image Classification (Q)
|
100% |
2985
555.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6107
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7490
121.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5600
91.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
62435
72.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
145354
169.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
56526
66.2 IPS |
|
|
Object Detection (SP)
|
100% |
3963
314.3 IPS |
|
|
Object Detection (HP)
|
100% |
6389
506.8 IPS |
|
|
Object Detection (Q)
|
89% |
3373
270.0 IPS |
|
|
Face Detection (SP)
|
100% |
11324
134.6 IPS |
|
|
Face Detection (HP)
|
100% |
14510
172.4 IPS |
|
|
Face Detection (Q)
|
97% |
10020
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21515
165.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35923
277.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
17450
140.7 IPS |
|
|
Style Transfer (SP)
|
100% |
100932
129.7 IPS |
|
|
Style Transfer (HP)
|
100% |
224691
288.8 IPS |
|
|
Style Transfer (Q)
|
98% |
90918
117.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16445
607.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20965
774.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11721
434.0 IPS |
|
|
Text Classification (SP)
|
100% |
1318
1.76 KIPS |
|
|
Text Classification (HP)
|
99% |
1692
2.26 KIPS |
|
|
Text Classification (Q)
|
97% |
716
958.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1467
25.3 IPS |
|
|
Machine Translation (Q)
|
60% |
709
15.8 IPS |
