Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4
Geekbench AI Score
5235
Single Precision Score
1654
Half Precision Score
8941
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 03:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4424
822.8 IPS |
|
|
Image Classification (HP)
|
100% |
584
108.6 IPS |
|
|
Image Classification (Q)
|
99% |
6930
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12324
200.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10287
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4510
5.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
30640
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
3989
316.4 IPS |
|
|
Object Detection (HP)
|
100% |
739
58.6 IPS |
|
|
Object Detection (Q)
|
86% |
7835
629.7 IPS |
|
|
Face Detection (SP)
|
100% |
12244
145.5 IPS |
|
|
Face Detection (HP)
|
100% |
1759
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
11492
137.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11702
90.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2245
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16856
134.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23017
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11218
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25529
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3386
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2135
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6093
225.6 IPS |
|
|
Text Classification (SP)
|
100% |
1653
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1490
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3548
71.3 IPS |
