Gigabyte Technology Co., Ltd. Z790 AERO G
Geekbench AI Score
6003
Single Precision Score
1906
Half Precision Score
10093
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | selyob46 |
| Upload Date | September 02 2025 03:07 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AERO G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4891
909.5 IPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
99% |
7767
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2539
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1268
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14054
228.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11538
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
5150
6.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
35725
41.9 IPS |
|
|
Object Detection (SP)
|
100% |
4660
369.7 IPS |
|
|
Object Detection (HP)
|
100% |
905
71.7 IPS |
|
|
Object Detection (Q)
|
86% |
8134
653.7 IPS |
|
|
Face Detection (SP)
|
100% |
14336
170.3 IPS |
|
|
Face Detection (HP)
|
100% |
2001
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
11761
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13555
104.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2596
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
20525
163.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26058
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12838
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33894
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4276
157.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2448
90.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6932
256.7 IPS |
|
|
Text Classification (SP)
|
100% |
1738
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
893
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1553
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3929
79.0 IPS |
