ASUS ROG Maximus Z790 Apex Encore ASUS System Product Name
Geekbench AI Score
7335
Single Precision Score
7296
Half Precision Score
19038
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | enroscado |
| Upload Date | April 29 2025 08:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.61 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4401
818.5 IPS |
|
|
Image Classification (HP)
|
100% |
4339
806.9 IPS |
|
|
Image Classification (Q)
|
100% |
11650
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5855
94.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5875
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13014
211.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8350
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
8492
9.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
37901
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
4256
337.6 IPS |
|
|
Object Detection (HP)
|
100% |
4302
341.2 IPS |
|
|
Object Detection (Q)
|
88% |
12586
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
14027
166.7 IPS |
|
|
Face Detection (HP)
|
100% |
14269
169.5 IPS |
|
|
Face Detection (Q)
|
100% |
28348
336.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10939
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10870
83.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
34250
266.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24273
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23649
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
105521
136.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5438
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5411
199.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19853
735.2 IPS |
|
|
Text Classification (SP)
|
100% |
3649
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (Q)
|
92% |
6373
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
6662
114.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6520
112.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6674
115.0 IPS |
