LENOVO 82JQ
Geekbench AI Score
3288
Single Precision Score
3261
Half Precision Score
5954
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Petenka315 |
| Upload Date | September 23 2024 06:25 PM |
| Views | 4 |
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% |
2190
407.2 IPS |
|
|
Image Classification (HP)
|
100% |
2235
415.7 IPS |
|
|
Image Classification (Q)
|
100% |
4236
787.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3939
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4923
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
5026
5.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
11788
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
2053
162.9 IPS |
|
|
Object Detection (HP)
|
100% |
1913
151.7 IPS |
|
|
Object Detection (Q)
|
87% |
3998
320.6 IPS |
|
|
Face Detection (SP)
|
100% |
4031
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
4121
49.0 IPS |
|
|
Face Detection (Q)
|
97% |
11924
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5494
42.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
5410
41.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
11903
94.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14425
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14196
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
33464
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2712
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2532
93.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6693
247.9 IPS |
|
|
Text Classification (SP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1263
1.69 KIPS |
|
|
Text Classification (Q)
|
91% |
1121
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2929
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3041
52.4 IPS |
|
|
Machine Translation (Q)
|
90% |
2000
34.7 IPS |
