ASRock X600-ITX
Geekbench AI Score
6941
Single Precision Score
2892
Half Precision Score
12278
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | March 11 2026 08:05 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| 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% |
6662
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
1102
204.9 IPS |
|
|
Image Classification (Q)
|
99% |
12526
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13779
224.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10885
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8787
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
39179
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
5796
459.7 IPS |
|
|
Object Detection (HP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (Q)
|
86% |
12706
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
9361
111.2 IPS |
|
|
Face Detection (HP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
13582
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14751
113.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3862
29.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
25281
201.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25938
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18981
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33525
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5014
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4219
155.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5529
204.7 IPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1522
2.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2508
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4469
77.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1468
25.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5678
114.1 IPS |
