Gigabyte Technology Co., Ltd. Z690 AORUS XTREME
Geekbench ML Score
5444
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 07 2024 09:14 AM |
| Views | 25 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS XTREME |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 4.00 MB x 3 |
| L3 Cache | 30.0 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% |
2927
547.7 IPS |
|
|
Image Classification (F16)
|
100% |
2893
541.3 IPS |
|
|
Image Classification (I8)
|
99% |
5100
954.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2473
41.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2445
40.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3652
61.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
9831
11.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
9814
11.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
33957
41.1 IPS |
|
|
Object Detection (F32)
|
100% |
2792
208.4 IPS |
|
|
Object Detection (F16)
|
100% |
2788
208.1 IPS |
|
|
Object Detection (I8)
|
62% |
2559
191.1 IPS |
|
|
Face Detection (F32)
|
100% |
6354
75.5 IPS |
|
|
Face Detection (F16)
|
100% |
6390
76.0 IPS |
|
|
Face Detection (I8)
|
89% |
6563
78.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
10769
83.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
12447
96.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
20069
155.6 IPS |
|
|
Style Transfer (F32)
|
100% |
23924
31.5 IPS |
|
|
Style Transfer (F16)
|
100% |
23912
31.5 IPS |
|
|
Style Transfer (I8)
|
98% |
35852
47.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4993
178.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5172
184.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6909
246.8 IPS |
|
|
Text Classification (F32)
|
100% |
1914
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
2037
2.93 KIPS |
|
|
Text Classification (I8)
|
98% |
603
866.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2887
53.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2958
54.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3658
67.3 IPS |
