ASRock Z690 AQUA
Geekbench AI Score
34201
Single Precision Score
40844
Half Precision Score
28060
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 26 2025 11:24 PM |
| Views | 3 |
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% |
15195
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
16809
3.13 KIPS |
|
|
Image Classification (Q)
|
99% |
13300
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21245
344.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19411
314.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19146
311.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
268557
313.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
465461
543.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
243801
285.6 IPS |
|
|
Object Detection (SP)
|
100% |
16966
1.35 KIPS |
|
|
Object Detection (HP)
|
99% |
18239
1.45 KIPS |
|
|
Object Detection (Q)
|
87% |
15429
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
45030
535.1 IPS |
|
|
Face Detection (HP)
|
100% |
49627
589.7 IPS |
|
|
Face Detection (Q)
|
97% |
40587
483.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
77041
593.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101798
784.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
63027
505.1 IPS |
|
|
Style Transfer (SP)
|
100% |
418171
537.6 IPS |
|
|
Style Transfer (HP)
|
100% |
659203
847.4 IPS |
|
|
Style Transfer (Q)
|
98% |
392757
506.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48480
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65113
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39161
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4611
6.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4554
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2974
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4592
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4724
81.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2700
50.6 IPS |
