LENOVO 90RC00A5CP
Geekbench AI Score
3404
Single Precision Score
1482
Half Precision Score
4857
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | XingGuobin |
| Upload Date | April 15 2025 12:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800 |
| 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% |
2597
483.0 IPS |
|
|
Image Classification (HP)
|
100% |
571
106.1 IPS |
|
|
Image Classification (Q)
|
96% |
4917
918.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2654
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4649
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4032
4.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
11073
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
2403
190.6 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (Q)
|
58% |
2971
324.6 IPS |
|
|
Face Detection (SP)
|
100% |
5315
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (Q)
|
96% |
8272
98.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6536
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2164
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10356
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12393
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10440
13.4 IPS |
|
|
Style Transfer (Q)
|
87% |
13484
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2260
83.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2937
108.8 IPS |
|
|
Text Classification (SP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1467
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
68% |
3422
66.1 IPS |
