ASRock X600-ITX
Geekbench AI Score
9891
Single Precision Score
9804
Half Precision Score
27045
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | opensourceeverywhere |
| Upload Date | February 27 2025 09:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X600-ITX |
| Motherboard | ASRock X600-ITX |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7793
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7982
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
18496
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7966
129.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6316
102.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16232
263.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11555
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11153
13.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
47154
55.2 IPS |
|
|
Object Detection (SP)
|
100% |
5988
475.0 IPS |
|
|
Object Detection (HP)
|
100% |
6673
529.3 IPS |
|
|
Object Detection (Q)
|
88% |
19012
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
11773
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
11561
137.4 IPS |
|
|
Face Detection (Q)
|
100% |
46163
548.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13713
105.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13889
107.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
52024
404.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28107
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
31280
40.2 IPS |
|
|
Style Transfer (Q)
|
98% |
116014
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9328
344.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9070
334.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32623
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
6895
9.20 KIPS |
|
|
Text Classification (HP)
|
100% |
6936
9.26 KIPS |
|
|
Text Classification (Q)
|
92% |
9007
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
7154
123.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6925
119.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9503
163.7 IPS |
