New i9 3080 ASUS System Product Name
Geekbench AI Score
4813
Single Precision Score
4842
Half Precision Score
8926
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | microtechcs |
| Upload Date | October 11 2025 01:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI II |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2758
513.0 IPS |
|
|
Image Classification (HP)
|
100% |
2881
535.8 IPS |
|
|
Image Classification (Q)
|
100% |
8535
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4461
72.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4470
72.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7091
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8566
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
8585
10.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
20104
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.2 IPS |
|
|
Object Detection (HP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (Q)
|
88% |
5493
440.3 IPS |
|
|
Face Detection (SP)
|
100% |
8223
97.7 IPS |
|
|
Face Detection (HP)
|
100% |
7834
93.1 IPS |
|
|
Face Detection (Q)
|
100% |
11996
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8208
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7912
61.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
13849
107.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22475
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22982
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
44335
57.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4019
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3992
147.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8298
307.3 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
4179
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1806
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1895
32.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1881
32.4 IPS |
