ASRock X600M-STX
Geekbench AI Score
25846
Single Precision Score
39815
Half Precision Score
20233
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 06:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X600M-STX |
| Motherboard | ASRock X600M-STX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10462
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
14100
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
9483
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15415
249.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18978
307.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13973
227.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
157786
184.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
539757
629.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
137288
160.8 IPS |
|
|
Object Detection (SP)
|
100% |
12826
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
18439
1.46 KIPS |
|
|
Object Detection (Q)
|
86% |
11005
884.2 IPS |
|
|
Face Detection (SP)
|
100% |
34067
404.8 IPS |
|
|
Face Detection (HP)
|
100% |
42877
509.5 IPS |
|
|
Face Detection (Q)
|
97% |
28985
345.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
75811
584.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
118042
909.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
56094
447.9 IPS |
|
|
Style Transfer (SP)
|
100% |
289680
372.4 IPS |
|
|
Style Transfer (HP)
|
100% |
807930
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
240004
309.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40674
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60276
2.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32085
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3166
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2034
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4232
72.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2256
42.3 IPS |
