LENOVO 90RC00A5CP
Geekbench AI Score
5688
Single Precision Score
5585
Half Precision Score
8098
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | XingGuobin |
| Upload Date | April 15 2025 12:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5800 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 90RC00A5CP |
| Motherboard | LENOVO 3716 |
| Power Plan | Lenovo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3002
558.3 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.2 IPS |
|
|
Image Classification (Q)
|
100% |
5503
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4238
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4318
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6461
105.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7020
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
7104
8.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
14604
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
3367
267.1 IPS |
|
|
Object Detection (HP)
|
100% |
2730
216.5 IPS |
|
|
Object Detection (Q)
|
87% |
5687
456.1 IPS |
|
|
Face Detection (SP)
|
100% |
8332
99.0 IPS |
|
|
Face Detection (HP)
|
100% |
8239
97.9 IPS |
|
|
Face Detection (Q)
|
97% |
16187
193.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8634
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8656
66.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
15132
119.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20660
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20313
26.1 IPS |
|
|
Style Transfer (Q)
|
98% |
41320
53.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4320
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6665
246.9 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
3446
4.60 KIPS |
|
|
Text Classification (Q)
|
91% |
1165
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5424
93.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5423
93.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5228
90.1 IPS |
