ASRock X600-ITX
Geekbench AI Score
25921
Single Precision Score
39660
Half Precision Score
22401
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | September 17 2025 02:50 PM |
| Views | 1 |
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% |
12659
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
15999
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
12231
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11960
193.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14874
241.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16613
270.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
135409
158.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
441977
515.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
118363
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
11064
877.6 IPS |
|
|
Object Detection (HP)
|
99% |
16359
1.30 KIPS |
|
|
Object Detection (Q)
|
87% |
10294
826.7 IPS |
|
|
Face Detection (SP)
|
100% |
32309
383.9 IPS |
|
|
Face Detection (HP)
|
100% |
46146
548.3 IPS |
|
|
Face Detection (Q)
|
97% |
27943
333.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
68034
524.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97559
751.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
56741
455.0 IPS |
|
|
Style Transfer (SP)
|
100% |
246769
317.2 IPS |
|
|
Style Transfer (HP)
|
100% |
487494
626.7 IPS |
|
|
Style Transfer (Q)
|
98% |
211959
273.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40560
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74844
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34042
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
4416
5.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
97% |
3203
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6215
107.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6532
112.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3508
65.8 IPS |
