ASRock X600M-STX
Geekbench AI Score
23647
Single Precision Score
37125
Half Precision Score
18994
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 12:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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% |
9447
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
13438
2.50 KIPS |
|
|
Image Classification (Q)
|
100% |
8485
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14296
231.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18186
294.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13356
217.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
160220
187.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
413374
482.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
134426
157.5 IPS |
|
|
Object Detection (SP)
|
100% |
12148
963.6 IPS |
|
|
Object Detection (HP)
|
100% |
17714
1.41 KIPS |
|
|
Object Detection (Q)
|
83% |
10398
840.1 IPS |
|
|
Face Detection (SP)
|
100% |
30321
360.3 IPS |
|
|
Face Detection (HP)
|
100% |
39989
475.2 IPS |
|
|
Face Detection (Q)
|
97% |
26704
318.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
66395
511.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111847
861.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
52735
420.9 IPS |
|
|
Style Transfer (SP)
|
100% |
221585
284.9 IPS |
|
|
Style Transfer (HP)
|
100% |
671077
862.7 IPS |
|
|
Style Transfer (Q)
|
98% |
192417
248.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37110
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60769
2.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30372
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3055
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3690
4.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2069
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4113
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4130
71.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2266
42.5 IPS |
