ASUS System Product Name
Geekbench AI Score
7719
Single Precision Score
7739
Half Precision Score
17095
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | April 06 2026 10:17 PM |
| Views | 4 |
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% |
4422
822.4 IPS |
|
|
Image Classification (HP)
|
100% |
4420
822.0 IPS |
|
|
Image Classification (Q)
|
100% |
11446
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6751
109.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6769
109.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12741
206.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13463
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13471
15.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
37507
43.9 IPS |
|
|
Object Detection (SP)
|
100% |
3892
308.8 IPS |
|
|
Object Detection (HP)
|
100% |
3952
313.5 IPS |
|
|
Object Detection (Q)
|
88% |
12126
972.0 IPS |
|
|
Face Detection (SP)
|
100% |
13236
157.3 IPS |
|
|
Face Detection (HP)
|
100% |
13202
156.9 IPS |
|
|
Face Detection (Q)
|
100% |
28408
337.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11713
90.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12866
99.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
32689
254.3 IPS |
|
|
Style Transfer (SP)
|
100% |
39952
51.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39597
50.9 IPS |
|
|
Style Transfer (Q)
|
98% |
103058
132.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6136
226.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6118
225.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19323
715.6 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (Q)
|
92% |
6161
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3376
58.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2821
48.6 IPS |
