LENOVO 82RF
Geekbench AI Score
12064
Single Precision Score
20782
Half Precision Score
8370
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 08:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 82RF |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
4635
862.1 IPS |
|
|
Image Classification (HP)
|
99% |
9335
1.74 KIPS |
|
|
Image Classification (Q)
|
99% |
3779
704.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7566
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11557
187.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6234
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
65080
75.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152998
178.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
53089
62.2 IPS |
|
|
Object Detection (SP)
|
100% |
5838
463.1 IPS |
|
|
Object Detection (HP)
|
100% |
11119
882.0 IPS |
|
|
Object Detection (Q)
|
85% |
4810
387.2 IPS |
|
|
Face Detection (SP)
|
100% |
13714
163.0 IPS |
|
|
Face Detection (HP)
|
100% |
23200
275.7 IPS |
|
|
Face Detection (Q)
|
97% |
11271
134.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27192
209.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55063
424.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
19739
158.1 IPS |
|
|
Style Transfer (SP)
|
100% |
109772
141.1 IPS |
|
|
Style Transfer (HP)
|
100% |
255815
328.9 IPS |
|
|
Style Transfer (Q)
|
98% |
87561
112.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18040
666.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31280
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11492
425.5 IPS |
|
|
Text Classification (SP)
|
100% |
2533
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1087
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2732
47.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1153
21.6 IPS |
