LENOVO 21M3003QHV
Geekbench AI Score
2820
Single Precision Score
2887
Half Precision Score
4930
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | edesattila |
| Upload Date | May 26 2025 09:21 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7535HS with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21M3003QHV |
| Motherboard | LENOVO 21M3003QHV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7535HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1917
356.5 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.1 IPS |
|
|
Image Classification (Q)
|
100% |
3314
616.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2856
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3691
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3682
4.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
7780
9.13 IPS |
|
|
Object Detection (SP)
|
100% |
1789
141.9 IPS |
|
|
Object Detection (HP)
|
100% |
1854
147.1 IPS |
|
|
Object Detection (Q)
|
87% |
3464
277.8 IPS |
|
|
Face Detection (SP)
|
100% |
4479
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
4415
52.5 IPS |
|
|
Face Detection (Q)
|
97% |
9548
113.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4861
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4926
38.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
8665
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10779
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11125
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22742
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2203
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4775
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
2069
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2064
2.76 KIPS |
|
|
Text Classification (Q)
|
91% |
1186
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2630
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3123
53.8 IPS |
