LENOVO 82JU
Geekbench AI Score
3940
Single Precision Score
3939
Half Precision Score
6759
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | porina |
| Upload Date | August 16 2024 10:45 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82JU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Balance Mode |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2713
504.5 IPS |
|
|
Image Classification (HP)
|
100% |
2719
505.7 IPS |
|
|
Image Classification (Q)
|
100% |
4883
908.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2426
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4539
73.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5606
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5627
6.57 IPS |
|
|
Pose Estimation (Q)
|
94% |
12576
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (Q)
|
87% |
4862
389.9 IPS |
|
|
Face Detection (SP)
|
100% |
5360
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
5244
62.3 IPS |
|
|
Face Detection (Q)
|
97% |
13955
166.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6806
52.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
6730
51.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
13386
106.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16390
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16349
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35941
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3266
120.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3201
118.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7285
269.8 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1363
1.82 KIPS |
|
|
Text Classification (Q)
|
91% |
1136
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3715
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3704
63.8 IPS |
|
|
Machine Translation (Q)
|
90% |
2645
46.0 IPS |
