ASUS System Product Name
Geekbench AI Score
7752
Single Precision Score
7811
Half Precision Score
17738
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 24 2026 03:53 PM |
| Views | 6 |
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% |
4430
823.8 IPS |
|
|
Image Classification (HP)
|
100% |
4399
818.1 IPS |
|
|
Image Classification (Q)
|
100% |
11504
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6782
109.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6728
109.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12882
208.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12214
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12219
14.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
38617
45.2 IPS |
|
|
Object Detection (SP)
|
100% |
3940
312.5 IPS |
|
|
Object Detection (HP)
|
100% |
3959
314.0 IPS |
|
|
Object Detection (Q)
|
88% |
12475
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
13171
156.5 IPS |
|
|
Face Detection (HP)
|
100% |
13141
156.1 IPS |
|
|
Face Detection (Q)
|
100% |
29185
346.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11341
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12991
100.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
33612
261.4 IPS |
|
|
Style Transfer (SP)
|
100% |
39911
51.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40160
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
105091
135.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6180
228.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6184
228.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19474
721.2 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (Q)
|
92% |
6261
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4183
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4010
69.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3437
59.2 IPS |
