Gigabyte Technology Co., Ltd. Z590 AORUS ELITE
Geekbench ML Score
3160
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 05:06 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 AORUS ELITE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1960
366.7 IPS |
|
|
Image Classification (F16)
|
100% |
2058
385.2 IPS |
|
|
Image Classification (I8)
|
99% |
3867
723.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1458
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1452
24.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2115
35.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6338
7.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
6649
8.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
23275
28.2 IPS |
|
|
Object Detection (F32)
|
100% |
1750
130.7 IPS |
|
|
Object Detection (F16)
|
100% |
1706
127.4 IPS |
|
|
Object Detection (I8)
|
62% |
1900
141.9 IPS |
|
|
Face Detection (F32)
|
100% |
2016
24.0 IPS |
|
|
Face Detection (F16)
|
100% |
1934
23.0 IPS |
|
|
Face Detection (I8)
|
89% |
3655
43.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6513
50.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5974
46.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
13948
108.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13938
18.3 IPS |
|
|
Style Transfer (F16)
|
100% |
11483
15.1 IPS |
|
|
Style Transfer (I8)
|
98% |
16097
21.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2960
105.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2168
77.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4294
153.4 IPS |
|
|
Text Classification (F32)
|
100% |
1462
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1464
2.10 KIPS |
|
|
Text Classification (I8)
|
98% |
424
609.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1542
28.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1537
28.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2140
39.4 IPS |
