LENOVO 82JQ
Geekbench AI Score
11846
Single Precision Score
19425
Half Precision Score
8251
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 08:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4964
923.2 IPS |
|
|
Image Classification (HP)
|
99% |
7912
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
3751
697.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6950
112.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9542
154.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5975
97.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
67259
78.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
164954
192.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
55540
65.0 IPS |
|
|
Object Detection (SP)
|
100% |
5614
445.3 IPS |
|
|
Object Detection (HP)
|
100% |
9485
752.4 IPS |
|
|
Object Detection (Q)
|
89% |
4350
348.3 IPS |
|
|
Face Detection (SP)
|
100% |
12563
149.3 IPS |
|
|
Face Detection (HP)
|
100% |
19408
230.6 IPS |
|
|
Face Detection (Q)
|
97% |
9786
116.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30036
231.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
58133
449.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
20611
166.1 IPS |
|
|
Style Transfer (SP)
|
100% |
112121
144.1 IPS |
|
|
Style Transfer (HP)
|
100% |
275421
354.1 IPS |
|
|
Style Transfer (Q)
|
98% |
90019
116.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18921
698.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30440
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12338
456.9 IPS |
|
|
Text Classification (SP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2702
3.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2446
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2534
43.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1010
22.5 IPS |
