LENOVO 20XF006GGE
Geekbench AI Score
1286
Single Precision Score
1288
Half Precision Score
958
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| Upload Date | August 16 2024 01:03 PM |
| Views | 33 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 5850U |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | LENOVO 20XF006GGE |
| Motherboard | LENOVO 20XF006GGE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 5850U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1115
207.4 IPS |
|
|
Image Classification (HP)
|
100% |
1116
207.5 IPS |
|
|
Image Classification (Q)
|
99% |
715
133.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
705
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1305
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1309
1.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
1585
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
926
73.5 IPS |
|
|
Object Detection (HP)
|
100% |
936
74.2 IPS |
|
|
Object Detection (Q)
|
86% |
604
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1396
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
1571
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1302
10.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
1294
9.97 IPS |
|
|
Depth Estimation (Q)
|
74% |
1307
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1509
1.94 IPS |
|
|
Style Transfer (HP)
|
100% |
1517
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2927
3.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1190
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1200
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
963
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
1498
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1513
2.02 KIPS |
|
|
Text Classification (Q)
|
92% |
557
748.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1576
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1511
26.0 IPS |
|
|
Machine Translation (Q)
|
58% |
421
9.88 IPS |
