ASUS System Product Name
Geekbench AI Score
7646
Single Precision Score
7447
Half Precision Score
15158
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 11 2026 10:43 PM |
| Views | 9 |
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% |
4418
821.6 IPS |
|
|
Image Classification (HP)
|
100% |
3910
727.2 IPS |
|
|
Image Classification (Q)
|
100% |
11671
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5745
93.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5711
92.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6664
108.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13583
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13579
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
37941
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
4119
326.7 IPS |
|
|
Object Detection (HP)
|
100% |
4128
327.5 IPS |
|
|
Object Detection (Q)
|
88% |
12417
995.4 IPS |
|
|
Face Detection (SP)
|
100% |
13722
163.0 IPS |
|
|
Face Detection (HP)
|
100% |
13703
162.8 IPS |
|
|
Face Detection (Q)
|
100% |
28327
336.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12734
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
12784
98.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
32484
252.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39743
51.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39431
50.7 IPS |
|
|
Style Transfer (Q)
|
98% |
53738
69.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5472
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5527
204.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18836
697.6 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
3359
4.48 KIPS |
|
|
Text Classification (Q)
|
92% |
5548
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3700
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3270
56.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3384
58.3 IPS |
