ASRock Z690 AQUA
Geekbench AI Score
35368
Single Precision Score
41541
Half Precision Score
29137
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 02 2025 12:01 AM |
| Views | 2 |
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% |
15946
2.97 KIPS |
|
|
Image Classification (HP)
|
100% |
16740
3.11 KIPS |
|
|
Image Classification (Q)
|
99% |
14062
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21000
340.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19099
309.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19288
313.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
272271
317.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
466360
544.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
245699
287.8 IPS |
|
|
Object Detection (SP)
|
100% |
17786
1.41 KIPS |
|
|
Object Detection (HP)
|
99% |
18748
1.49 KIPS |
|
|
Object Detection (Q)
|
87% |
15946
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
44200
525.2 IPS |
|
|
Face Detection (HP)
|
100% |
48279
573.7 IPS |
|
|
Face Detection (Q)
|
97% |
40155
478.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
81979
631.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
107321
826.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
68041
545.3 IPS |
|
|
Style Transfer (SP)
|
100% |
443356
569.9 IPS |
|
|
Style Transfer (HP)
|
100% |
674873
867.6 IPS |
|
|
Style Transfer (Q)
|
98% |
395736
510.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50490
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64305
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40836
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
4960
6.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5040
6.73 KIPS |
|
|
Text Classification (Q)
|
97% |
3227
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4695
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4831
83.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2913
54.6 IPS |
