ASUS ROG Maximus Z790 Apex Encore ASUS System Product Name
Geekbench AI Score
3788
Single Precision Score
3750
Half Precision Score
2499
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | enroscado |
| Upload Date | April 29 2025 08:09 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
2635
490.1 IPS |
|
|
Image Classification (HP)
|
100% |
2659
494.6 IPS |
|
|
Image Classification (Q)
|
99% |
1495
278.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4293
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4228
68.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1808
29.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5092
5.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
5116
5.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
6380
7.47 IPS |
|
|
Object Detection (SP)
|
100% |
2894
229.6 IPS |
|
|
Object Detection (HP)
|
100% |
2829
224.4 IPS |
|
|
Object Detection (Q)
|
85% |
1830
147.3 IPS |
|
|
Face Detection (SP)
|
100% |
5535
65.8 IPS |
|
|
Face Detection (HP)
|
100% |
5530
65.7 IPS |
|
|
Face Detection (Q)
|
97% |
4000
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4817
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4809
37.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3347
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5813
7.47 IPS |
|
|
Style Transfer (HP)
|
100% |
5818
7.48 IPS |
|
|
Style Transfer (Q)
|
98% |
10317
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3261
120.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3296
121.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2745
101.7 IPS |
|
|
Text Classification (SP)
|
100% |
1728
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
943
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4189
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (Q)
|
58% |
842
19.8 IPS |
