LENOVO 21QMS1HT00
Geekbench AI Score
4796
Single Precision Score
4778
Half Precision Score
13513
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ssangkal |
| Upload Date | February 06 2026 09:44 AM |
| 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 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% |
3201
595.3 IPS |
|
|
Image Classification (HP)
|
100% |
3129
582.0 IPS |
|
|
Image Classification (Q)
|
100% |
9150
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3380
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3300
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9193
149.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6017
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5989
6.99 IPS |
|
|
Pose Estimation (Q)
|
98% |
23401
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
2827
224.3 IPS |
|
|
Object Detection (HP)
|
100% |
2858
226.7 IPS |
|
|
Object Detection (Q)
|
88% |
9168
734.9 IPS |
|
|
Face Detection (SP)
|
100% |
5510
65.5 IPS |
|
|
Face Detection (HP)
|
100% |
5510
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
21705
257.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7695
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7656
59.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
21467
167.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15548
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15437
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
62288
80.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3564
131.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3550
131.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12026
445.4 IPS |
|
|
Text Classification (SP)
|
100% |
3137
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (Q)
|
92% |
5124
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4753
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4623
79.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6294
108.4 IPS |
