LENOVO 82RB
Geekbench AI Score
4494
Single Precision Score
5988
Half Precision Score
9126
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Nipoc |
| Upload Date | October 13 2024 08:23 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2833
526.9 IPS |
|
|
Image Classification (HP)
|
100% |
4103
763.0 IPS |
|
|
Image Classification (Q)
|
99% |
5402
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4181
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6540
106.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8326
135.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9711
11.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
7091
8.27 IPS |
|
|
Pose Estimation (Q)
|
97% |
29198
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
2612
207.2 IPS |
|
|
Object Detection (HP)
|
100% |
3797
301.2 IPS |
|
|
Object Detection (Q)
|
90% |
5908
472.4 IPS |
|
|
Face Detection (SP)
|
100% |
7649
90.9 IPS |
|
|
Face Detection (HP)
|
100% |
11217
133.3 IPS |
|
|
Face Detection (Q)
|
100% |
16540
196.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9175
70.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
14707
113.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
18963
147.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25171
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35739
45.9 IPS |
|
|
Style Transfer (Q)
|
98% |
64395
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6376
235.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11305
418.7 IPS |
|
|
Text Classification (SP)
|
71% |
1155
1.67 KIPS |
|
|
Text Classification (HP)
|
71% |
1272
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
1262
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1718
29.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1793
30.9 IPS |
