LENOVO 82RB
Geekbench AI Score
15834
Single Precision Score
25795
Half Precision Score
10213
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Nipoc |
| Upload Date | October 13 2024 08:09 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82RB |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5666
1.05 KIPS |
|
|
Image Classification (HP)
|
99% |
9581
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
4151
771.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9868
160.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13751
222.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7871
128.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
91122
106.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
248526
290.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
74560
87.3 IPS |
|
|
Object Detection (SP)
|
100% |
7871
624.3 IPS |
|
|
Object Detection (HP)
|
100% |
12617
1.00 KIPS |
|
|
Object Detection (Q)
|
88% |
5409
433.7 IPS |
|
|
Face Detection (SP)
|
100% |
17735
210.7 IPS |
|
|
Face Detection (HP)
|
100% |
26515
315.1 IPS |
|
|
Face Detection (Q)
|
97% |
13300
158.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
39583
305.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
74894
577.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
25342
204.1 IPS |
|
|
Style Transfer (SP)
|
100% |
150733
193.8 IPS |
|
|
Style Transfer (HP)
|
100% |
384881
494.8 IPS |
|
|
Style Transfer (Q)
|
98% |
122644
158.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28077
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38165
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16495
610.8 IPS |
|
|
Text Classification (SP)
|
100% |
2843
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
3744
5.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1281
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2925
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2891
49.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1073
23.9 IPS |
