ASRock X600M-STX
Geekbench AI Score
3443
Single Precision Score
1746
Half Precision Score
4999
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Wakeful |
| Upload Date | November 18 2024 05:38 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASRock X600M-STX |
| Motherboard | ASRock X600M-STX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2153
400.3 IPS |
|
|
Image Classification (HP)
|
100% |
630
117.1 IPS |
|
|
Image Classification (Q)
|
99% |
5620
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2683
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4867
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
4885
5.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
25777
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (Q)
|
88% |
2301
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
4480
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
1992
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
6741
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6791
52.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2654
20.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
6897
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14853
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14018
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34977
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2610
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2528
93.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4427
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
853
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
519
694.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2689
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2922
65.2 IPS |
