Gigabyte Technology Co., Ltd. Z490 AORUS ELITE
Geekbench AI Score
6727
Single Precision Score
6706
Half Precision Score
9256
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Morgoth |
| Upload Date | August 06 2025 07:10 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10900K CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z490 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. Z490 AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4033
750.1 IPS |
|
|
Image Classification (HP)
|
100% |
4063
755.6 IPS |
|
|
Image Classification (Q)
|
100% |
6453
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5283
85.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5278
85.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8463
137.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9516
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9563
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
19231
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
4056
321.7 IPS |
|
|
Object Detection (HP)
|
100% |
4001
317.4 IPS |
|
|
Object Detection (Q)
|
87% |
7058
566.1 IPS |
|
|
Face Detection (SP)
|
100% |
8644
102.7 IPS |
|
|
Face Detection (HP)
|
100% |
8643
102.7 IPS |
|
|
Face Detection (Q)
|
97% |
19451
231.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10869
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10906
84.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
18389
145.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28796
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28659
36.8 IPS |
|
|
Style Transfer (Q)
|
98% |
54787
70.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5829
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5821
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10229
378.9 IPS |
|
|
Text Classification (SP)
|
100% |
3118
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (Q)
|
91% |
670
901.1 IPS |
|
|
Machine Translation (SP)
|
100% |
4695
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4586
79.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4641
79.9 IPS |
