LENOVO 82JY
Geekbench AI Score
14283
Single Precision Score
22675
Half Precision Score
10033
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 06:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 82JY |
| 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% |
6017
1.12 KIPS |
|
|
Image Classification (HP)
|
99% |
9008
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
4628
860.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8196
132.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10962
177.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6877
111.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
81602
95.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
236003
275.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
67565
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
7048
559.0 IPS |
|
|
Object Detection (HP)
|
100% |
10609
841.5 IPS |
|
|
Object Detection (Q)
|
85% |
5482
441.3 IPS |
|
|
Face Detection (SP)
|
100% |
17053
202.6 IPS |
|
|
Face Detection (HP)
|
100% |
23570
280.1 IPS |
|
|
Face Detection (Q)
|
97% |
13701
163.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
37880
291.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72128
555.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
26293
210.5 IPS |
|
|
Style Transfer (SP)
|
100% |
132845
170.8 IPS |
|
|
Style Transfer (HP)
|
100% |
335596
431.4 IPS |
|
|
Style Transfer (Q)
|
98% |
109608
141.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24313
897.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33451
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15225
563.8 IPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
2928
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1247
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2552
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2601
44.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1170
21.9 IPS |
