ASRock Z690 AQUA
Geekbench AI Score
4747
Single Precision Score
4603
Half Precision Score
10406
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 13 2025 01:51 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% |
2496
464.1 IPS |
|
|
Image Classification (HP)
|
100% |
2702
502.5 IPS |
|
|
Image Classification (Q)
|
100% |
7076
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4634
75.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4657
75.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8394
136.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7883
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
7856
9.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
21487
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
2729
216.5 IPS |
|
|
Object Detection (HP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (Q)
|
88% |
7691
616.5 IPS |
|
|
Face Detection (SP)
|
100% |
9054
107.6 IPS |
|
|
Face Detection (HP)
|
100% |
9092
108.0 IPS |
|
|
Face Detection (Q)
|
100% |
18025
214.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7775
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7903
60.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
19417
151.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22998
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22603
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
63141
81.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3930
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3990
147.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12210
452.2 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (Q)
|
92% |
3694
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1582
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1045
18.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1522
26.2 IPS |
