ASRock X600-ITX
Geekbench AI Score
6617
Single Precision Score
2733
Half Precision Score
12495
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | September 17 2025 02:46 PM |
| Views | 1 |
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% |
6667
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
1075
199.9 IPS |
|
|
Image Classification (Q)
|
99% |
12437
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1677
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13856
225.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10656
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8448
9.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
40298
47.2 IPS |
|
|
Object Detection (SP)
|
100% |
5303
420.7 IPS |
|
|
Object Detection (HP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (Q)
|
86% |
12479
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
9656
114.7 IPS |
|
|
Face Detection (HP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
13672
163.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13107
101.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3600
27.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
25846
206.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23352
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18047
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34350
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3500
129.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5439
201.4 IPS |
|
|
Text Classification (SP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (Q)
|
97% |
2393
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (Q)
|
65% |
6780
136.2 IPS |
