Gigabyte Technology Co., Ltd. Z490 AORUS ELITE
Geekbench AI Score
6759
Single Precision Score
6737
Half Precision Score
9202
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Morgoth |
| Upload Date | August 06 2025 07:12 AM |
| Views | 15 |
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% |
4095
761.5 IPS |
|
|
Image Classification (HP)
|
100% |
4098
762.1 IPS |
|
|
Image Classification (Q)
|
100% |
6436
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5294
85.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5276
85.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8362
135.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9619
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9538
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
19284
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
4099
325.1 IPS |
|
|
Object Detection (HP)
|
100% |
4066
322.5 IPS |
|
|
Object Detection (Q)
|
87% |
7045
565.0 IPS |
|
|
Face Detection (SP)
|
100% |
8652
102.8 IPS |
|
|
Face Detection (HP)
|
100% |
8654
102.8 IPS |
|
|
Face Detection (Q)
|
97% |
19544
233.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10876
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10877
83.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
18297
144.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28745
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28819
37.0 IPS |
|
|
Style Transfer (Q)
|
98% |
54798
70.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10209
378.1 IPS |
|
|
Text Classification (SP)
|
100% |
3148
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (Q)
|
91% |
639
859.2 IPS |
|
|
Machine Translation (SP)
|
100% |
4723
81.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4706
81.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4662
80.3 IPS |
