ASRock Z690 AQUA
Geekbench AI Score
36346
Single Precision Score
43077
Half Precision Score
29903
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 01 2025 11:31 PM |
| Views | 8 |
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% |
16479
3.06 KIPS |
|
|
Image Classification (HP)
|
100% |
17687
3.29 KIPS |
|
|
Image Classification (Q)
|
99% |
14707
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21204
343.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19682
319.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19737
320.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
276023
322.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
477923
557.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
249637
292.4 IPS |
|
|
Object Detection (SP)
|
100% |
18577
1.47 KIPS |
|
|
Object Detection (HP)
|
99% |
19573
1.55 KIPS |
|
|
Object Detection (Q)
|
87% |
16627
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
45716
543.2 IPS |
|
|
Face Detection (HP)
|
100% |
50280
597.4 IPS |
|
|
Face Detection (Q)
|
97% |
41045
489.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
83779
645.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
106246
818.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
69024
553.1 IPS |
|
|
Style Transfer (SP)
|
100% |
444740
571.7 IPS |
|
|
Style Transfer (HP)
|
100% |
708056
910.2 IPS |
|
|
Style Transfer (Q)
|
98% |
390960
504.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51381
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66805
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41768
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
5351
7.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5492
7.33 KIPS |
|
|
Text Classification (Q)
|
97% |
3362
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4795
82.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4869
83.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3051
57.2 IPS |
