LENOVO 11JB002BUK
Geekbench AI Score
1331
Single Precision Score
827
Half Precision Score
1452
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 03:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 4650G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 11JB002BUK |
| Motherboard | LENOVO 318E |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 4650G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
746
138.8 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.5 IPS |
|
|
Image Classification (Q)
|
96% |
1070
199.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
1206
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3404
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3368
3.93 IPS |
|
|
Pose Estimation (Q)
|
87% |
4795
5.66 IPS |
|
|
Object Detection (SP)
|
100% |
819
64.9 IPS |
|
|
Object Detection (HP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (Q)
|
86% |
793
63.7 IPS |
|
|
Face Detection (SP)
|
100% |
807
9.59 IPS |
|
|
Face Detection (HP)
|
100% |
644
7.65 IPS |
|
|
Face Detection (Q)
|
96% |
1564
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3087
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1301
10.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
2388
19.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7924
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7467
9.60 IPS |
|
|
Style Transfer (Q)
|
87% |
5877
7.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
897
33.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1376
51.0 IPS |
|
|
Text Classification (SP)
|
100% |
1036
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
430
574.3 IPS |
|
|
Text Classification (Q)
|
97% |
354
474.3 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.73 IPS |
|
|
Machine Translation (Q)
|
60% |
797
17.8 IPS |
