LENOVO 21DE0042GE
Geekbench AI Score
16347
Single Precision Score
26808
Half Precision Score
10232
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Jurass |
| Upload Date | July 15 2025 08:22 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% |
7189
1.34 KIPS |
|
|
Image Classification (HP)
|
99% |
10326
1.93 KIPS |
|
|
Image Classification (Q)
|
100% |
4778
888.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
11696
189.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17276
280.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8679
141.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
61702
72.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
210326
245.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
53255
62.4 IPS |
|
|
Object Detection (SP)
|
100% |
8439
669.4 IPS |
|
|
Object Detection (HP)
|
100% |
13187
1.05 KIPS |
|
|
Object Detection (Q)
|
85% |
6161
495.9 IPS |
|
|
Face Detection (SP)
|
100% |
21108
250.8 IPS |
|
|
Face Detection (HP)
|
100% |
32971
391.8 IPS |
|
|
Face Detection (Q)
|
97% |
15194
181.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
40567
312.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
72622
559.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
26420
211.6 IPS |
|
|
Style Transfer (SP)
|
100% |
152427
195.9 IPS |
|
|
Style Transfer (HP)
|
100% |
394098
506.6 IPS |
|
|
Style Transfer (Q)
|
98% |
109815
141.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26552
980.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35157
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14631
541.8 IPS |
|
|
Text Classification (SP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
3354
4.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1175
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1220
22.9 IPS |
