ASRock Z690 AQUA
Geekbench AI Score
5461
Single Precision Score
5518
Half Precision Score
11756
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 27 2025 01:15 AM |
| Views | 14 |
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% |
2833
526.8 IPS |
|
|
Image Classification (HP)
|
100% |
3211
597.2 IPS |
|
|
Image Classification (Q)
|
100% |
7533
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4807
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4766
77.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8771
142.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8630
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8612
10.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
26843
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
3274
259.7 IPS |
|
|
Object Detection (HP)
|
100% |
3197
253.6 IPS |
|
|
Object Detection (Q)
|
88% |
8159
654.0 IPS |
|
|
Face Detection (SP)
|
100% |
10257
121.9 IPS |
|
|
Face Detection (HP)
|
100% |
10569
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
19089
226.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8922
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9045
69.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
22061
171.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24552
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25295
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
74123
95.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4784
176.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4697
173.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13143
486.7 IPS |
|
|
Text Classification (SP)
|
100% |
2466
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (Q)
|
92% |
3828
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2220
38.2 IPS |
