LENOVO 82JQ
Geekbench AI Score
11951
Single Precision Score
19500
Half Precision Score
8375
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Petenka315 |
| Upload Date | October 18 2024 03:31 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 Pro (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% |
5008
931.3 IPS |
|
|
Image Classification (HP)
|
99% |
7999
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
3755
698.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6990
113.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9910
160.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5937
96.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
68136
79.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
174021
203.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
56717
66.4 IPS |
|
|
Object Detection (SP)
|
100% |
5768
457.5 IPS |
|
|
Object Detection (HP)
|
100% |
9479
751.9 IPS |
|
|
Object Detection (Q)
|
89% |
4604
368.7 IPS |
|
|
Face Detection (SP)
|
100% |
12838
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
19121
227.2 IPS |
|
|
Face Detection (Q)
|
97% |
10051
119.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30274
233.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
58224
448.6 IPS |
|
|
Depth Estimation (Q)
|
71% |
20508
170.4 IPS |
|
|
Style Transfer (SP)
|
100% |
114806
147.6 IPS |
|
|
Style Transfer (HP)
|
100% |
271616
349.2 IPS |
|
|
Style Transfer (Q)
|
98% |
92737
119.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19299
712.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30916
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12601
466.6 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2649
3.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1220
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2362
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (Q)
|
60% |
993
22.2 IPS |
