ASUS System Product Name
Geekbench AI Score
7567
Single Precision Score
7623
Half Precision Score
17106
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | renanlofiego |
| Upload Date | January 22 2026 04:19 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| 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 | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KS |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4341
807.3 IPS |
|
|
Image Classification (HP)
|
100% |
4344
807.8 IPS |
|
|
Image Classification (Q)
|
100% |
11138
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6563
106.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6660
108.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12199
197.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13565
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
13533
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
37230
43.6 IPS |
|
|
Object Detection (SP)
|
100% |
4106
325.7 IPS |
|
|
Object Detection (HP)
|
100% |
4104
325.5 IPS |
|
|
Object Detection (Q)
|
88% |
11917
955.3 IPS |
|
|
Face Detection (SP)
|
100% |
13683
162.6 IPS |
|
|
Face Detection (HP)
|
100% |
13752
163.4 IPS |
|
|
Face Detection (Q)
|
100% |
27831
330.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11558
89.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11782
90.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
31786
247.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36022
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35938
46.2 IPS |
|
|
Style Transfer (Q)
|
98% |
100640
129.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5547
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5538
204.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18497
685.0 IPS |
|
|
Text Classification (SP)
|
100% |
3434
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (Q)
|
92% |
6159
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3509
60.4 IPS |
