ASUS System Product Name
Geekbench AI Score
7545
Single Precision Score
7400
Half Precision Score
17400
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 01 2026 08:40 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% |
4293
798.3 IPS |
|
|
Image Classification (HP)
|
100% |
3892
723.8 IPS |
|
|
Image Classification (Q)
|
100% |
11281
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6595
106.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6650
107.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
12939
209.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13516
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13513
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
38550
45.2 IPS |
|
|
Object Detection (SP)
|
100% |
4101
325.3 IPS |
|
|
Object Detection (HP)
|
100% |
4070
322.8 IPS |
|
|
Object Detection (Q)
|
88% |
12364
991.1 IPS |
|
|
Face Detection (SP)
|
100% |
13491
160.3 IPS |
|
|
Face Detection (HP)
|
100% |
13552
161.0 IPS |
|
|
Face Detection (Q)
|
100% |
28881
343.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11331
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11378
87.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
33262
258.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35552
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35490
45.6 IPS |
|
|
Style Transfer (Q)
|
98% |
104063
134.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5557
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5457
201.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19221
711.8 IPS |
|
|
Text Classification (SP)
|
100% |
3321
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3323
4.44 KIPS |
|
|
Text Classification (Q)
|
92% |
5954
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3799
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3197
55.1 IPS |
