ASRock Z690 AQUA
Geekbench AI Score
23930
Single Precision Score
48153
Half Precision Score
50396
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 13 2025 01:45 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| 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% |
12562
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
25917
4.82 KIPS |
|
|
Image Classification (Q)
|
100% |
28978
5.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22521
365.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
36812
596.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
37902
614.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
80444
93.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
349200
407.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
644833
754.9 IPS |
|
|
Object Detection (SP)
|
100% |
10221
810.7 IPS |
|
|
Object Detection (HP)
|
100% |
26395
2.09 KIPS |
|
|
Object Detection (Q)
|
88% |
21961
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
26832
318.8 IPS |
|
|
Face Detection (HP)
|
100% |
51503
612.0 IPS |
|
|
Face Detection (Q)
|
100% |
54310
645.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
61914
477.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
136454
1.05 KIPS |
|
|
Depth Estimation (Q)
|
89% |
160846
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
188715
242.6 IPS |
|
|
Style Transfer (HP)
|
100% |
565683
727.2 IPS |
|
|
Style Transfer (Q)
|
98% |
643629
830.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33149
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76202
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
70389
2.61 KIPS |
|
|
Text Classification (SP)
|
100% |
5596
7.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5170
6.90 KIPS |
|
|
Text Classification (Q)
|
92% |
3543
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4553
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4867
83.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4846
83.5 IPS |
