Gigabyte Technology Co., Ltd. Z390 GAMING SLI
Geekbench ML Score
7834
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 10:18 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 GAMING SLI |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 GAMING SLI-CF |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4382
820.0 IPS |
|
|
Image Classification (F16)
|
100% |
4196
785.3 IPS |
|
|
Image Classification (I8)
|
100% |
3287
615.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
5811
97.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
5851
97.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
4863
81.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
39247
47.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
40495
49.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
44501
53.9 IPS |
|
|
Object Detection (F32)
|
100% |
3282
245.0 IPS |
|
|
Object Detection (F16)
|
100% |
2998
223.8 IPS |
|
|
Object Detection (I8)
|
61% |
2631
196.5 IPS |
|
|
Face Detection (F32)
|
100% |
11689
139.0 IPS |
|
|
Face Detection (F16)
|
100% |
10692
127.1 IPS |
|
|
Face Detection (I8)
|
89% |
9184
109.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
21151
164.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
26781
207.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
15406
119.5 IPS |
|
|
Style Transfer (F32)
|
100% |
74498
98.0 IPS |
|
|
Style Transfer (F16)
|
100% |
70805
93.1 IPS |
|
|
Style Transfer (I8)
|
98% |
69727
91.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13983
499.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11990
428.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7671
273.9 IPS |
|
|
Text Classification (F32)
|
100% |
1041
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1237
1.78 KIPS |
|
|
Text Classification (I8)
|
98% |
761
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
2460
45.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2480
45.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1276
23.5 IPS |
