ASRock Z790 PG Lightning
Geekbench ML Score
16215
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | December 06 2024 04:54 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12594
2.36 KIPS |
|
|
Image Classification (F16)
|
100% |
12555
2.35 KIPS |
|
|
Image Classification (I8)
|
100% |
9751
1.82 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8590
143.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8321
139.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
7891
131.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
203784
246.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
201447
243.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
166433
201.5 IPS |
|
|
Object Detection (F32)
|
100% |
3751
280.1 IPS |
|
|
Object Detection (F16)
|
100% |
2245
167.6 IPS |
|
|
Object Detection (I8)
|
56% |
3974
296.7 IPS |
|
|
Face Detection (F32)
|
100% |
32103
381.7 IPS |
|
|
Face Detection (F16)
|
100% |
31999
380.5 IPS |
|
|
Face Detection (I8)
|
89% |
25042
297.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
58871
456.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
57844
448.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
29490
228.7 IPS |
|
|
Style Transfer (F32)
|
100% |
124201
163.4 IPS |
|
|
Style Transfer (F16)
|
100% |
130729
172.0 IPS |
|
|
Style Transfer (I8)
|
98% |
122920
161.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10093
360.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10193
364.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8799
314.2 IPS |
|
|
Text Classification (F32)
|
100% |
4278
6.15 KIPS |
|
|
Text Classification (F16)
|
100% |
4234
6.08 KIPS |
|
|
Text Classification (I8)
|
98% |
2715
3.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
3897
71.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3795
69.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2941
54.1 IPS |
