ASRock Z690 AQUA
Geekbench AI Score
2787
Single Precision Score
4047
Half Precision Score
6296
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 27 2025 01:23 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1715
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
2812
522.9 IPS |
|
|
Image Classification (Q)
|
99% |
4274
797.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4120
66.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4985
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4510
5.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
3288
3.84 IPS |
|
|
Pose Estimation (Q)
|
97% |
13511
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1525
121.0 IPS |
|
|
Object Detection (HP)
|
98% |
2498
198.7 IPS |
|
|
Object Detection (Q)
|
90% |
4607
368.3 IPS |
|
|
Face Detection (SP)
|
100% |
5190
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
7981
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
10440
124.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5206
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8797
68.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
12004
93.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11673
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18395
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30962
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3449
127.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7039
260.7 IPS |
|
|
Text Classification (SP)
|
71% |
1226
1.77 KIPS |
|
|
Text Classification (HP)
|
71% |
1495
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
1461
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1864
32.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1851
31.9 IPS |
