AMD Lilac-RMB
Geekbench AI Score
3730
Single Precision Score
4481
Half Precision Score
2744
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 06:45 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 6600H |
| 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% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
1518
282.3 IPS |
|
|
Image Classification (Q)
|
100% |
1132
210.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1850
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15953
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
27366
31.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13242
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (Q)
|
89% |
1121
89.7 IPS |
|
|
Face Detection (SP)
|
100% |
3366
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
4427
52.6 IPS |
|
|
Face Detection (Q)
|
97% |
2612
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8059
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9894
76.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
6111
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26549
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39179
50.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21467
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5848
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8604
317.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4133
153.0 IPS |
|
|
Text Classification (SP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1167
1.56 KIPS |
|
|
Text Classification (Q)
|
97% |
705
944.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1749
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1825
31.4 IPS |
|
|
Machine Translation (Q)
|
60% |
781
17.4 IPS |
