LENOVO 82JQ
Geekbench AI Score
11784
Single Precision Score
19116
Half Precision Score
8251
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Petenka315 |
| Upload Date | August 17 2024 02:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| 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% |
4778
888.6 IPS |
|
|
Image Classification (HP)
|
99% |
7667
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
3653
679.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7020
113.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9581
155.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5888
95.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
67478
78.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
159859
186.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
55673
65.2 IPS |
|
|
Object Detection (SP)
|
100% |
5649
448.1 IPS |
|
|
Object Detection (HP)
|
100% |
9381
744.1 IPS |
|
|
Object Detection (Q)
|
89% |
4546
364.0 IPS |
|
|
Face Detection (SP)
|
100% |
12472
148.2 IPS |
|
|
Face Detection (HP)
|
100% |
19119
227.2 IPS |
|
|
Face Detection (Q)
|
97% |
9852
117.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
30029
231.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
58600
451.5 IPS |
|
|
Depth Estimation (Q)
|
71% |
20251
168.2 IPS |
|
|
Style Transfer (SP)
|
100% |
111078
142.8 IPS |
|
|
Style Transfer (HP)
|
100% |
264975
340.6 IPS |
|
|
Style Transfer (Q)
|
98% |
91372
117.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18870
696.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30883
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12271
454.4 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
99% |
2650
3.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1228
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2378
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2435
41.9 IPS |
|
|
Machine Translation (Q)
|
60% |
978
21.8 IPS |
