Gigabyte Technology Co., Ltd. Z490 AORUS ELITE
Geekbench AI Score
6985
Single Precision Score
6931
Half Precision Score
9344
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Morgoth |
| Upload Date | August 06 2025 07:02 AM |
| Views | 9 |
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% |
4383
815.0 IPS |
|
|
Image Classification (HP)
|
100% |
4364
811.6 IPS |
|
|
Image Classification (Q)
|
100% |
6481
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5529
89.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5528
89.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8427
137.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9554
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9566
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
19099
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
4238
336.1 IPS |
|
|
Object Detection (HP)
|
100% |
4225
335.2 IPS |
|
|
Object Detection (Q)
|
87% |
7097
569.2 IPS |
|
|
Face Detection (SP)
|
100% |
8686
103.2 IPS |
|
|
Face Detection (HP)
|
100% |
8692
103.3 IPS |
|
|
Face Detection (Q)
|
97% |
19513
232.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11517
88.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
11462
88.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
18755
147.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28658
36.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28682
36.9 IPS |
|
|
Style Transfer (Q)
|
98% |
54454
70.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5854
216.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10378
384.4 IPS |
|
|
Text Classification (SP)
|
100% |
3310
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3351
4.47 KIPS |
|
|
Text Classification (Q)
|
91% |
713
957.7 IPS |
|
|
Machine Translation (SP)
|
100% |
5085
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4686
80.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4648
80.1 IPS |
