LENOVO 82JQ
Geekbench AI Score
12197
Single Precision Score
19880
Half Precision Score
8454
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Petenka315 |
| Upload Date | August 28 2024 01:17 PM |
| Views | 7 |
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% |
4993
928.6 IPS |
|
|
Image Classification (HP)
|
99% |
8150
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
3806
707.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7289
118.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10161
164.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6009
97.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
68536
80.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
164531
192.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
56783
66.5 IPS |
|
|
Object Detection (SP)
|
100% |
5897
467.7 IPS |
|
|
Object Detection (HP)
|
100% |
9734
772.1 IPS |
|
|
Object Detection (Q)
|
89% |
4682
374.9 IPS |
|
|
Face Detection (SP)
|
100% |
12836
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
19676
233.8 IPS |
|
|
Face Detection (Q)
|
97% |
10068
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
30730
236.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
59642
459.5 IPS |
|
|
Depth Estimation (Q)
|
71% |
20761
172.5 IPS |
|
|
Style Transfer (SP)
|
100% |
115732
148.8 IPS |
|
|
Style Transfer (HP)
|
100% |
275024
353.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93349
120.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19533
721.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31622
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12577
465.7 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
2890
3.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1242
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2422
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1007
22.5 IPS |
