ASRock Z690M-ITX/ax
Geekbench AI Score
23789
Single Precision Score
35471
Half Precision Score
20678
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hooverbw |
| Upload Date | October 13 2025 08:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z690M-ITX/ax |
| Motherboard | ASRock Z690M-ITX/ax |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11340
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
14300
2.66 KIPS |
|
|
Image Classification (Q)
|
100% |
10819
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11149
180.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13386
217.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14631
237.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
134897
157.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
426164
497.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
118366
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
10073
799.0 IPS |
|
|
Object Detection (HP)
|
99% |
14678
1.16 KIPS |
|
|
Object Detection (Q)
|
87% |
9610
771.8 IPS |
|
|
Face Detection (SP)
|
100% |
30249
359.4 IPS |
|
|
Face Detection (HP)
|
100% |
39566
470.1 IPS |
|
|
Face Detection (Q)
|
97% |
26301
313.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
65384
503.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
92383
711.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
54629
438.1 IPS |
|
|
Style Transfer (SP)
|
100% |
237012
304.7 IPS |
|
|
Style Transfer (HP)
|
100% |
468019
601.6 IPS |
|
|
Style Transfer (Q)
|
98% |
200414
258.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37035
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65910
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30982
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4512
6.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2990
4.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4872
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5177
89.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2977
55.8 IPS |
