ASRock Z690 AQUA
Geekbench AI Score
5707
Single Precision Score
5734
Half Precision Score
11974
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 28 2025 10:51 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900T |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASRock Z690 AQUA |
| Motherboard | ASRock Z690 AQUA |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900T |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3246
603.7 IPS |
|
|
Image Classification (HP)
|
100% |
3413
634.8 IPS |
|
|
Image Classification (Q)
|
100% |
7581
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4885
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4913
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8921
144.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8639
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8656
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26824
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
3437
272.6 IPS |
|
|
Object Detection (HP)
|
100% |
3472
275.4 IPS |
|
|
Object Detection (Q)
|
88% |
8316
666.6 IPS |
|
|
Face Detection (SP)
|
100% |
10934
129.9 IPS |
|
|
Face Detection (HP)
|
100% |
11017
130.9 IPS |
|
|
Face Detection (Q)
|
100% |
19523
232.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9185
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9201
70.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
22660
176.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25334
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25234
32.4 IPS |
|
|
Style Transfer (Q)
|
98% |
74019
95.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4896
180.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4886
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13313
493.0 IPS |
|
|
Text Classification (SP)
|
100% |
2529
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (Q)
|
92% |
3870
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2381
41.0 IPS |
