LENOVO 82JQ
Geekbench AI Score
11212
Single Precision Score
18428
Half Precision Score
8293
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 07:15 AM |
| Views | 4 |
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 INVALID |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4883
908.1 IPS |
|
|
Image Classification (HP)
|
99% |
7687
1.43 KIPS |
|
|
Image Classification (Q)
|
99% |
3815
711.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6248
101.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8966
145.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5668
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
66289
77.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
157441
183.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
54964
64.4 IPS |
|
|
Object Detection (SP)
|
100% |
5469
433.8 IPS |
|
|
Object Detection (HP)
|
100% |
9127
724.0 IPS |
|
|
Object Detection (Q)
|
85% |
4429
356.6 IPS |
|
|
Face Detection (SP)
|
100% |
12632
150.1 IPS |
|
|
Face Detection (HP)
|
100% |
19361
230.1 IPS |
|
|
Face Detection (Q)
|
97% |
10485
125.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28875
222.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
58071
448.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
20589
164.8 IPS |
|
|
Style Transfer (SP)
|
100% |
109339
140.6 IPS |
|
|
Style Transfer (HP)
|
100% |
257832
331.4 IPS |
|
|
Style Transfer (Q)
|
98% |
88971
114.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18636
688.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27305
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11901
440.7 IPS |
|
|
Text Classification (SP)
|
100% |
2019
2.69 KIPS |
|
|
Text Classification (HP)
|
99% |
2534
3.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1147
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1116
20.9 IPS |
