AMD Lilac-RMB
Geekbench AI Score
3652
Single Precision Score
4367
Half Precision Score
2699
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 06:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 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% |
1206
224.3 IPS |
|
|
Image Classification (HP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (Q)
|
100% |
1029
191.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1718
27.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1828
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15897
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26880
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13079
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (Q)
|
89% |
1087
87.0 IPS |
|
|
Face Detection (SP)
|
100% |
3319
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
4347
51.7 IPS |
|
|
Face Detection (Q)
|
97% |
2612
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7968
61.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9882
76.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
6071
48.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26488
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38967
50.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21293
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5752
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8370
309.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4072
150.8 IPS |
|
|
Text Classification (SP)
|
100% |
1080
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1235
1.65 KIPS |
|
|
Text Classification (Q)
|
97% |
728
974.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (Q)
|
60% |
769
17.2 IPS |
