AMD Lilac-RMB
Geekbench AI Score
3214
Single Precision Score
3219
Half Precision Score
5729
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 06:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7535U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | AMD Lilac-RMB |
| Motherboard | AMD Lilac-RMB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7535U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
2278
423.6 IPS |
|
|
Image Classification (Q)
|
100% |
3821
710.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
901
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3424
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4413
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
4427
5.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
9462
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
2154
170.9 IPS |
|
|
Object Detection (HP)
|
100% |
2224
176.4 IPS |
|
|
Object Detection (Q)
|
87% |
3869
310.3 IPS |
|
|
Face Detection (SP)
|
100% |
4865
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
5045
59.9 IPS |
|
|
Face Detection (Q)
|
97% |
10876
129.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5691
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5740
44.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
9882
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12477
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12601
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27039
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2675
98.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2640
97.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5707
211.4 IPS |
|
|
Text Classification (SP)
|
100% |
1872
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
1856
2.48 KIPS |
|
|
Text Classification (Q)
|
91% |
1462
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3416
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3119
53.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3285
56.6 IPS |
