Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4
Geekbench AI Score
5441
Single Precision Score
1849
Half Precision Score
8488
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 29 2025 04:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4500
836.8 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.1 IPS |
|
|
Image Classification (Q)
|
99% |
6943
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4366
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9514
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5157
6.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
31433
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
3914
310.5 IPS |
|
|
Object Detection (HP)
|
100% |
885
70.2 IPS |
|
|
Object Detection (Q)
|
86% |
8421
676.8 IPS |
|
|
Face Detection (SP)
|
100% |
9510
113.0 IPS |
|
|
Face Detection (HP)
|
100% |
2181
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
12182
145.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12145
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2732
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
19024
151.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22728
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12556
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
23903
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2581
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5806
215.0 IPS |
|
|
Text Classification (SP)
|
100% |
1880
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
647
863.5 IPS |
|
|
Text Classification (Q)
|
97% |
1827
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2994
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4118
82.8 IPS |
