ASRock Z790 PG Lightning
Geekbench ML Score
16203
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nimblebits |
| Upload Date | October 05 2024 11:46 AM |
| Views | 3 |
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% |
12407
2.32 KIPS |
|
|
Image Classification (F16)
|
100% |
12640
2.37 KIPS |
|
|
Image Classification (I8)
|
100% |
9819
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8386
140.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
8145
136.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
7449
124.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
202177
244.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
201797
244.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
168467
204.0 IPS |
|
|
Object Detection (F32)
|
100% |
3533
263.7 IPS |
|
|
Object Detection (F16)
|
100% |
3575
266.9 IPS |
|
|
Object Detection (I8)
|
56% |
3717
277.5 IPS |
|
|
Face Detection (F32)
|
100% |
33312
396.1 IPS |
|
|
Face Detection (F16)
|
100% |
32301
384.1 IPS |
|
|
Face Detection (I8)
|
89% |
25608
304.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
60642
470.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
60295
467.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
29129
225.9 IPS |
|
|
Style Transfer (F32)
|
100% |
126545
166.5 IPS |
|
|
Style Transfer (F16)
|
100% |
127812
168.1 IPS |
|
|
Style Transfer (I8)
|
98% |
122911
161.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10621
379.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10008
357.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8231
294.0 IPS |
|
|
Text Classification (F32)
|
100% |
4392
6.31 KIPS |
|
|
Text Classification (F16)
|
100% |
4390
6.31 KIPS |
|
|
Text Classification (I8)
|
98% |
2831
4.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
3417
62.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3578
65.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2257
41.5 IPS |
