ASRock X600-ITX
Geekbench AI Score
25493
Single Precision Score
38784
Half Precision Score
22039
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | October 11 2025 12:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASRock X600-ITX |
| Motherboard | ASRock X600-ITX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12156
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
15270
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
11698
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12029
195.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14787
239.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16573
269.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
134222
156.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
441356
515.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
117238
137.3 IPS |
|
|
Object Detection (SP)
|
100% |
11011
873.4 IPS |
|
|
Object Detection (HP)
|
99% |
16376
1.30 KIPS |
|
|
Object Detection (Q)
|
87% |
10206
819.7 IPS |
|
|
Face Detection (SP)
|
100% |
32543
386.7 IPS |
|
|
Face Detection (HP)
|
100% |
45854
544.8 IPS |
|
|
Face Detection (Q)
|
97% |
28268
337.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
68014
524.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96182
741.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
56571
453.7 IPS |
|
|
Style Transfer (SP)
|
100% |
247901
318.7 IPS |
|
|
Style Transfer (HP)
|
100% |
486463
625.4 IPS |
|
|
Style Transfer (Q)
|
98% |
212395
273.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39473
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71170
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33469
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4098
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4758
6.35 KIPS |
|
|
Text Classification (Q)
|
97% |
3044
4.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
6045
104.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6496
111.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3368
63.2 IPS |
