Gigabyte Technology Co., Ltd. Z390 AORUS PRO WIFI
Geekbench ML Score
1840
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 08:57 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 AORUS PRO WIFI-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 256 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1105
206.8 IPS |
|
|
Image Classification (F16)
|
100% |
1121
209.7 IPS |
|
|
Image Classification (I8)
|
97% |
1573
294.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
732
12.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
700
11.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1288
21.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3033
3.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
3331
4.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
8579
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
940
70.1 IPS |
|
|
Object Detection (F16)
|
100% |
966
72.1 IPS |
|
|
Object Detection (I8)
|
60% |
942
70.4 IPS |
|
|
Face Detection (F32)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (F16)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (I8)
|
87% |
2292
27.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3826
29.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3846
29.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
7159
55.5 IPS |
|
|
Style Transfer (F32)
|
100% |
8767
11.5 IPS |
|
|
Style Transfer (F16)
|
100% |
9142
12.0 IPS |
|
|
Style Transfer (I8)
|
85% |
9631
12.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1714
61.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1622
57.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2451
87.5 IPS |
|
|
Text Classification (F32)
|
100% |
1050
1.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1075
1.55 KIPS |
|
|
Text Classification (I8)
|
94% |
301
431.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1105
20.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1100
20.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1294
23.8 IPS |
