Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X WIFI7
Geekbench AI Score
6523
Single Precision Score
6517
Half Precision Score
15670
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | HeyJude5 |
| Upload Date | August 20 2025 10:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE X WIFI7 |
| Power Plan | Bitsum Highest Performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3820
710.4 IPS |
|
|
Image Classification (HP)
|
100% |
3872
720.1 IPS |
|
|
Image Classification (Q)
|
100% |
10796
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5519
89.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5524
89.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11212
181.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9312
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9308
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
35700
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
3637
288.5 IPS |
|
|
Object Detection (HP)
|
100% |
3676
291.6 IPS |
|
|
Object Detection (Q)
|
88% |
10483
840.3 IPS |
|
|
Face Detection (SP)
|
100% |
11956
142.1 IPS |
|
|
Face Detection (HP)
|
100% |
11948
142.0 IPS |
|
|
Face Detection (Q)
|
100% |
25197
299.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10481
80.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10365
79.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
28127
218.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27868
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28057
36.1 IPS |
|
|
Style Transfer (Q)
|
98% |
93707
120.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5024
185.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5049
186.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16703
618.6 IPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (Q)
|
92% |
5670
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3134
54.0 IPS |
