ASRock X600-ITX
Geekbench AI Score
6971
Single Precision Score
2861
Half Precision Score
12347
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | October 11 2025 12:18 AM |
| Views | 4 |
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% |
6630
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
1084
201.6 IPS |
|
|
Image Classification (Q)
|
99% |
12087
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2027
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13765
223.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11365
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8933
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
39302
46.1 IPS |
|
|
Object Detection (SP)
|
100% |
6014
477.1 IPS |
|
|
Object Detection (HP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (Q)
|
86% |
13290
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
10187
121.0 IPS |
|
|
Face Detection (HP)
|
100% |
2734
32.5 IPS |
|
|
Face Detection (Q)
|
97% |
13699
163.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15182
117.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3881
29.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
25784
205.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26926
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19180
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34349
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3875
143.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4958
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3393
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2525
3.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4308
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
65% |
6241
125.4 IPS |
