Gigabyte Technology Co., Ltd. Z390 GAMING X
Geekbench ML Score
11708
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 12:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 GAMING X |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 GAMING X-CF |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6738
1.26 KIPS |
|
|
Image Classification (F16)
|
100% |
6668
1.25 KIPS |
|
|
Image Classification (I8)
|
100% |
6814
1.28 KIPS |
|
|
Image Segmentation (F32)
|
100% |
7826
130.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
7257
121.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
7011
117.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
162455
196.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
158843
192.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
134463
162.8 IPS |
|
|
Object Detection (F32)
|
100% |
2368
176.8 IPS |
|
|
Object Detection (F16)
|
100% |
2391
178.5 IPS |
|
|
Object Detection (I8)
|
56% |
2079
155.2 IPS |
|
|
Face Detection (F32)
|
100% |
25579
304.1 IPS |
|
|
Face Detection (F16)
|
100% |
25506
303.3 IPS |
|
|
Face Detection (I8)
|
89% |
20362
242.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
28371
220.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
29624
229.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
22421
173.9 IPS |
|
|
Style Transfer (F32)
|
100% |
103718
136.4 IPS |
|
|
Style Transfer (F16)
|
100% |
116741
153.6 IPS |
|
|
Style Transfer (I8)
|
98% |
108195
142.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9578
342.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9902
353.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8307
296.7 IPS |
|
|
Text Classification (F32)
|
100% |
1994
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1912
2.75 KIPS |
|
|
Text Classification (I8)
|
98% |
1744
2.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
2259
41.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2741
50.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2142
39.4 IPS |
