ASRock Z690 AQUA
Geekbench AI Score
35755
Single Precision Score
42367
Half Precision Score
29477
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 16 2025 10:20 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| 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% |
16364
3.04 KIPS |
|
|
Image Classification (HP)
|
100% |
17411
3.24 KIPS |
|
|
Image Classification (Q)
|
99% |
14400
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21238
344.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19577
317.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19633
319.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
276739
322.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
474491
553.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
247938
290.4 IPS |
|
|
Object Detection (SP)
|
100% |
18316
1.45 KIPS |
|
|
Object Detection (HP)
|
99% |
18985
1.51 KIPS |
|
|
Object Detection (Q)
|
87% |
15670
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
44944
534.0 IPS |
|
|
Face Detection (HP)
|
100% |
49332
586.2 IPS |
|
|
Face Detection (Q)
|
97% |
40120
478.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
82100
632.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105518
812.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
69095
553.7 IPS |
|
|
Style Transfer (SP)
|
100% |
444308
571.2 IPS |
|
|
Style Transfer (HP)
|
100% |
730929
939.6 IPS |
|
|
Style Transfer (Q)
|
98% |
396947
511.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49717
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65532
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41649
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4971
6.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4961
6.62 KIPS |
|
|
Text Classification (Q)
|
97% |
3264
4.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4785
82.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4906
84.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3015
56.6 IPS |
