LENOVO 82JQ
Geekbench AI Score
2977
Single Precision Score
2964
Half Precision Score
5261
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Petenka315 |
| Upload Date | August 17 2024 02:09 PM |
| Views | 9 |
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 82JQ |
| Motherboard | LENOVO LNVNB161216 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.4 IPS |
|
|
Image Classification (HP)
|
100% |
1934
359.7 IPS |
|
|
Image Classification (Q)
|
100% |
3711
690.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1872
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3464
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4582
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4208
4.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
10118
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1885
149.5 IPS |
|
|
Object Detection (HP)
|
100% |
1935
153.5 IPS |
|
|
Object Detection (Q)
|
87% |
3728
299.0 IPS |
|
|
Face Detection (SP)
|
100% |
3808
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
3849
45.7 IPS |
|
|
Face Detection (Q)
|
97% |
10542
125.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5164
39.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
5003
38.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
10278
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13087
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12948
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28814
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2448
90.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2412
89.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5681
210.4 IPS |
|
|
Text Classification (SP)
|
100% |
1039
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1152
1.54 KIPS |
|
|
Text Classification (Q)
|
91% |
1001
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2662
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2596
44.7 IPS |
|
|
Machine Translation (Q)
|
90% |
1888
32.8 IPS |
