Gigabyte Technology Co., Ltd. Z690 AORUS PRO
Geekbench AI Score
4470
Single Precision Score
1641
Half Precision Score
7269
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | djhampson |
| Upload Date | April 21 2025 08:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3430
637.8 IPS |
|
|
Image Classification (HP)
|
100% |
574
106.8 IPS |
|
|
Image Classification (Q)
|
99% |
6472
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3612
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7905
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4826
5.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
27650
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
3348
265.6 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (Q)
|
86% |
6579
528.8 IPS |
|
|
Face Detection (SP)
|
100% |
8753
104.0 IPS |
|
|
Face Detection (HP)
|
100% |
1717
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
9962
118.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10116
77.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2245
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15913
127.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18740
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12338
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24044
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3338
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4464
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
1743
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1693
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2052
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3363
67.6 IPS |
