LENOVO 21RMS00C00
Geekbench AI Score
2630
Single Precision Score
2357
Half Precision Score
5827
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 27 2026 02:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21RMS00C00 |
| Motherboard | LENOVO 21RMS00C00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1515
281.8 IPS |
|
|
Image Classification (HP)
|
100% |
1441
267.9 IPS |
|
|
Image Classification (Q)
|
100% |
1756
326.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1843
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1672
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4453
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2981
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (Q)
|
98% |
12080
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
100% |
1595
126.5 IPS |
|
|
Object Detection (Q)
|
88% |
4523
362.6 IPS |
|
|
Face Detection (SP)
|
100% |
3917
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
10942
130.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4658
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4593
35.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
10461
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7910
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7913
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
33263
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1611
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5703
211.2 IPS |
|
|
Text Classification (SP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
622
829.7 IPS |
|
|
Text Classification (Q)
|
92% |
1196
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3068
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4073
70.2 IPS |
