Gigabyte Technology Co., Ltd. Z590 AORUS ELITE
Geekbench ML Score
11227
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 05:08 PM |
| Views | 2 |
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 | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5388
1.01 KIPS |
|
|
Image Classification (F16)
|
100% |
5804
1.09 KIPS |
|
|
Image Classification (I8)
|
100% |
3369
630.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
7473
124.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
7733
129.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
6048
101.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
118478
143.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
120213
145.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
86285
104.5 IPS |
|
|
Object Detection (F32)
|
100% |
4405
328.9 IPS |
|
|
Object Detection (F16)
|
100% |
4451
332.3 IPS |
|
|
Object Detection (I8)
|
56% |
3533
263.8 IPS |
|
|
Face Detection (F32)
|
100% |
16109
191.5 IPS |
|
|
Face Detection (F16)
|
100% |
16251
193.2 IPS |
|
|
Face Detection (I8)
|
89% |
10494
124.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
33999
263.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
33740
261.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
21621
167.7 IPS |
|
|
Style Transfer (F32)
|
100% |
173140
227.8 IPS |
|
|
Style Transfer (F16)
|
100% |
178216
234.4 IPS |
|
|
Style Transfer (I8)
|
98% |
124343
163.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22599
807.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21934
783.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
14027
501.0 IPS |
|
|
Text Classification (F32)
|
100% |
1251
1.80 KIPS |
|
|
Text Classification (F16)
|
100% |
1250
1.80 KIPS |
|
|
Text Classification (I8)
|
98% |
755
1.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
2195
40.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2197
40.4 IPS |
|
|
Machine Translation (I8)
|
70% |
994
18.3 IPS |
