ASRock X600-ITX
Geekbench AI Score
9873
Single Precision Score
9793
Half Precision Score
26519
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | March 11 2026 08:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| 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% |
6548
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
6525
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
17129
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6776
109.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6681
108.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17565
284.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12556
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12389
14.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
48928
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
6018
477.3 IPS |
|
|
Object Detection (HP)
|
100% |
5945
471.6 IPS |
|
|
Object Detection (Q)
|
88% |
17767
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
12940
153.8 IPS |
|
|
Face Detection (HP)
|
100% |
12794
152.0 IPS |
|
|
Face Detection (Q)
|
100% |
42008
499.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14623
112.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14536
112.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
44596
347.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33581
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34096
43.8 IPS |
|
|
Style Transfer (Q)
|
98% |
126736
163.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7852
289.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7812
288.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25069
928.4 IPS |
|
|
Text Classification (SP)
|
100% |
5439
7.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5429
7.25 KIPS |
|
|
Text Classification (Q)
|
92% |
8682
11.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
9675
166.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9404
162.0 IPS |
|
|
Machine Translation (Q)
|
100% |
12730
219.3 IPS |
