LENOVO 21QMS1HT00
Geekbench AI Score
3444
Single Precision Score
1752
Half Precision Score
7899
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ssangkal |
| Upload Date | February 06 2026 08:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QMS1HT00 |
| Motherboard | LENOVO 21QMS1HT00 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3139
583.7 IPS |
|
|
Image Classification (HP)
|
100% |
790
146.9 IPS |
|
|
Image Classification (Q)
|
99% |
8225
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9503
154.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5674
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
4664
5.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
21735
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2818
223.5 IPS |
|
|
Object Detection (HP)
|
100% |
820
65.1 IPS |
|
|
Object Detection (Q)
|
86% |
6981
561.0 IPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
9618
114.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7683
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2309
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
14456
115.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12368
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11016
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19093
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2115
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1918
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4932
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1121
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2106
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2894
58.1 IPS |
