LENOVO 21DE0042GE
Geekbench AI Score
16741
Single Precision Score
26666
Half Precision Score
10815
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jurass |
| Upload Date | July 15 2025 08:32 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21DE0042GE |
| Motherboard | LENOVO 21DE0042GE |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7178
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
10424
1.94 KIPS |
|
|
Image Classification (Q)
|
100% |
5064
941.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
11254
182.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16050
260.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8590
139.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
80771
94.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
239229
279.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
67918
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
8705
690.5 IPS |
|
|
Object Detection (HP)
|
100% |
12890
1.02 KIPS |
|
|
Object Detection (Q)
|
85% |
6274
505.1 IPS |
|
|
Face Detection (SP)
|
100% |
20054
238.3 IPS |
|
|
Face Detection (HP)
|
100% |
30829
366.3 IPS |
|
|
Face Detection (Q)
|
97% |
15053
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
43040
331.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75731
583.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
27571
220.8 IPS |
|
|
Style Transfer (SP)
|
100% |
158553
203.8 IPS |
|
|
Style Transfer (HP)
|
100% |
396541
509.8 IPS |
|
|
Style Transfer (Q)
|
98% |
119788
154.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26302
971.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35177
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15029
556.5 IPS |
|
|
Text Classification (SP)
|
100% |
2538
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
3229
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1253
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1262
23.7 IPS |
