ASRock X600-ITX
Geekbench AI Score
10057
Single Precision Score
9952
Half Precision Score
27218
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | October 11 2025 12:20 AM |
| Views | 4 |
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% |
6783
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
6264
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
17715
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6858
111.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6691
108.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18347
297.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12658
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12496
14.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
50360
59.0 IPS |
|
|
Object Detection (SP)
|
100% |
6209
492.5 IPS |
|
|
Object Detection (HP)
|
100% |
6251
495.8 IPS |
|
|
Object Detection (Q)
|
88% |
18342
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
12682
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
12623
150.0 IPS |
|
|
Face Detection (Q)
|
100% |
42752
508.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14754
113.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14639
112.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
47016
365.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35059
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34582
44.5 IPS |
|
|
Style Transfer (Q)
|
98% |
130277
168.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7760
286.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7925
292.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25656
950.1 IPS |
|
|
Text Classification (SP)
|
100% |
5651
7.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5717
7.63 KIPS |
|
|
Text Classification (Q)
|
92% |
9018
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
10071
173.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10062
173.3 IPS |
|
|
Machine Translation (Q)
|
100% |
12271
211.4 IPS |
