ASRock X600-ITX
Geekbench AI Score
25741
Single Precision Score
39776
Half Precision Score
22291
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | March 11 2026 08:09 PM |
| Views | 8 |
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% |
12449
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
15984
2.97 KIPS |
|
|
Image Classification (Q)
|
100% |
12012
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12052
195.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14876
241.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16622
270.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
134697
157.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
443455
517.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
119378
139.8 IPS |
|
|
Object Detection (SP)
|
100% |
11071
878.1 IPS |
|
|
Object Detection (HP)
|
99% |
16639
1.32 KIPS |
|
|
Object Detection (Q)
|
87% |
10298
827.1 IPS |
|
|
Face Detection (SP)
|
100% |
32225
382.9 IPS |
|
|
Face Detection (HP)
|
100% |
46554
553.2 IPS |
|
|
Face Detection (Q)
|
97% |
27859
332.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
68041
524.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99385
765.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
57116
458.0 IPS |
|
|
Style Transfer (SP)
|
100% |
245806
316.0 IPS |
|
|
Style Transfer (HP)
|
100% |
485519
624.1 IPS |
|
|
Style Transfer (Q)
|
98% |
213396
275.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39580
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73548
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33685
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4324
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5212
6.96 KIPS |
|
|
Text Classification (Q)
|
97% |
3195
4.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6190
106.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6562
113.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3378
63.4 IPS |
