ASUS System Product Name
Geekbench AI Score
6298
Single Precision Score
6312
Half Precision Score
8548
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | November 14 2025 02:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-10900 CPU @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS XII APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3968
737.8 IPS |
|
|
Image Classification (HP)
|
100% |
3938
732.3 IPS |
|
|
Image Classification (Q)
|
100% |
5892
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5324
86.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5327
86.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7507
122.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8202
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
8263
9.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
17439
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
3802
301.5 IPS |
|
|
Object Detection (HP)
|
100% |
3772
299.2 IPS |
|
|
Object Detection (Q)
|
87% |
6369
510.8 IPS |
|
|
Face Detection (SP)
|
100% |
7375
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
7412
88.1 IPS |
|
|
Face Detection (Q)
|
97% |
17802
212.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10288
79.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10422
80.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
17106
134.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25535
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25527
32.8 IPS |
|
|
Style Transfer (Q)
|
98% |
49965
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5237
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5219
192.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9571
354.5 IPS |
|
|
Text Classification (SP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (Q)
|
91% |
655
880.1 IPS |
|
|
Machine Translation (SP)
|
100% |
4737
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4673
80.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4448
76.6 IPS |
