ASUS System Product Name
Geekbench AI Score
6688
Single Precision Score
6587
Half Precision Score
16281
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 11 2026 10:51 PM |
| Views | 8 |
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 |
| 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% |
4413
820.8 IPS |
|
|
Image Classification (HP)
|
100% |
4440
825.8 IPS |
|
|
Image Classification (Q)
|
100% |
11376
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5392
87.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5460
88.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12606
204.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9220
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9249
10.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
37246
43.6 IPS |
|
|
Object Detection (SP)
|
100% |
3856
305.8 IPS |
|
|
Object Detection (HP)
|
100% |
3581
284.1 IPS |
|
|
Object Detection (Q)
|
88% |
12624
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
12063
143.3 IPS |
|
|
Face Detection (HP)
|
100% |
11833
140.6 IPS |
|
|
Face Detection (Q)
|
100% |
29060
345.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10066
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9986
76.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
32035
249.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26672
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26475
34.0 IPS |
|
|
Style Transfer (Q)
|
98% |
53790
69.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4903
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19080
706.6 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
3446
4.60 KIPS |
|
|
Text Classification (Q)
|
92% |
5613
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3619
62.3 IPS |
