ASRock X600-ITX
Geekbench AI Score
10006
Single Precision Score
10062
Half Precision Score
27463
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | September 17 2025 02:48 PM |
| Views | 1 |
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% |
6708
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
6670
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
17613
3.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7037
114.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6960
112.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18527
300.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12469
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12559
14.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
50017
58.6 IPS |
|
|
Object Detection (SP)
|
100% |
6038
478.9 IPS |
|
|
Object Detection (HP)
|
100% |
6194
491.3 IPS |
|
|
Object Detection (Q)
|
88% |
18291
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
13083
155.5 IPS |
|
|
Face Detection (HP)
|
100% |
13098
155.6 IPS |
|
|
Face Detection (Q)
|
100% |
43529
517.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14747
113.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14807
114.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
46021
358.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35032
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34514
44.4 IPS |
|
|
Style Transfer (Q)
|
98% |
127951
165.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7785
287.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7857
290.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25524
945.2 IPS |
|
|
Text Classification (SP)
|
100% |
5620
7.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5624
7.51 KIPS |
|
|
Text Classification (Q)
|
92% |
9055
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
9573
164.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9961
171.6 IPS |
|
|
Machine Translation (Q)
|
100% |
13800
237.7 IPS |
