LENOVO 82JQ
Geekbench AI Score
3223
Single Precision Score
3425
Half Precision Score
6082
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Petenka315 |
| Upload Date | August 31 2024 01:55 PM |
| Views | 8 |
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% |
1158
215.3 IPS |
|
|
Image Classification (HP)
|
100% |
2258
419.9 IPS |
|
|
Image Classification (Q)
|
100% |
3973
738.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3976
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5019
5.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5127
5.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
12031
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (Q)
|
87% |
4146
332.5 IPS |
|
|
Face Detection (SP)
|
100% |
4293
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
4286
50.9 IPS |
|
|
Face Detection (Q)
|
97% |
12381
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
100% |
5973
46.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
12179
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14226
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15183
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33493
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2837
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2933
108.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6969
258.1 IPS |
|
|
Text Classification (SP)
|
100% |
1359
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (Q)
|
91% |
1163
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3148
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (Q)
|
90% |
2148
37.3 IPS |
