ASUS System Product Name
Geekbench AI Score
7651
Single Precision Score
7584
Half Precision Score
17781
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 21 2026 09:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4444
826.4 IPS |
|
|
Image Classification (HP)
|
100% |
4442
826.0 IPS |
|
|
Image Classification (Q)
|
100% |
11759
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6079
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6382
103.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12846
208.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13603
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13574
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
38481
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
4206
333.6 IPS |
|
|
Object Detection (HP)
|
100% |
4191
332.4 IPS |
|
|
Object Detection (Q)
|
88% |
12620
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
13863
164.7 IPS |
|
|
Face Detection (HP)
|
100% |
13849
164.6 IPS |
|
|
Face Detection (Q)
|
100% |
29262
347.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12834
98.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12834
98.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
33532
260.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36052
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35979
46.3 IPS |
|
|
Style Transfer (Q)
|
98% |
103695
133.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5694
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5366
198.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19369
717.3 IPS |
|
|
Text Classification (SP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
3471
4.63 KIPS |
|
|
Text Classification (Q)
|
92% |
6299
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3520
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3278
56.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3470
59.8 IPS |
