LENOVO 82TD
Geekbench AI Score
18354
Single Precision Score
29767
Half Precision Score
11487
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | April 06 2025 10:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82TD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HX |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6773
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
11282
2.10 KIPS |
|
|
Image Classification (Q)
|
100% |
4822
896.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
13096
212.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19587
317.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9654
157.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
105209
122.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
259022
302.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
82446
96.6 IPS |
|
|
Object Detection (SP)
|
100% |
8380
664.7 IPS |
|
|
Object Detection (HP)
|
100% |
14417
1.14 KIPS |
|
|
Object Detection (Q)
|
85% |
6563
528.4 IPS |
|
|
Face Detection (SP)
|
100% |
22698
269.7 IPS |
|
|
Face Detection (HP)
|
100% |
35885
426.4 IPS |
|
|
Face Detection (Q)
|
97% |
17094
203.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45427
350.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
81508
628.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
28597
229.0 IPS |
|
|
Style Transfer (SP)
|
100% |
184715
237.5 IPS |
|
|
Style Transfer (HP)
|
100% |
432611
556.1 IPS |
|
|
Style Transfer (Q)
|
98% |
123963
159.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26638
983.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35217
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15553
575.9 IPS |
|
|
Text Classification (SP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
3697
4.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1190
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3864
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4019
69.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1416
26.6 IPS |
