Gigabyte Technology Co., Ltd. Z490 AORUS ELITE
Geekbench AI Score
7108
Single Precision Score
7088
Half Precision Score
9480
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Morgoth |
| Upload Date | August 06 2025 07:15 AM |
| Views | 14 |
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% |
4552
846.5 IPS |
|
|
Image Classification (HP)
|
100% |
4491
835.2 IPS |
|
|
Image Classification (Q)
|
100% |
6571
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5625
91.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5515
89.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8443
137.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9670
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9617
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
19298
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
4295
340.7 IPS |
|
|
Object Detection (HP)
|
100% |
4299
341.0 IPS |
|
|
Object Detection (Q)
|
87% |
7144
573.0 IPS |
|
|
Face Detection (SP)
|
100% |
8858
105.2 IPS |
|
|
Face Detection (HP)
|
100% |
8793
104.5 IPS |
|
|
Face Detection (Q)
|
97% |
19698
234.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11659
89.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11670
89.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
19052
150.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28897
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28868
37.1 IPS |
|
|
Style Transfer (Q)
|
98% |
55140
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5923
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5932
219.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10532
390.1 IPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (Q)
|
91% |
697
936.6 IPS |
|
|
Machine Translation (SP)
|
100% |
5163
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5173
89.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5051
87.0 IPS |
