ASRock X600M-STX
Geekbench AI Score
25924
Single Precision Score
40342
Half Precision Score
20503
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 07:16 PM |
| Views | 2 |
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% |
10800
2.01 KIPS |
|
|
Image Classification (HP)
|
100% |
14851
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
9656
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15338
248.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18643
302.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13903
226.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
157087
183.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
537101
626.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
138796
162.6 IPS |
|
|
Object Detection (SP)
|
100% |
12870
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
18431
1.46 KIPS |
|
|
Object Detection (Q)
|
86% |
11025
885.8 IPS |
|
|
Face Detection (SP)
|
100% |
34372
408.4 IPS |
|
|
Face Detection (HP)
|
100% |
42556
505.7 IPS |
|
|
Face Detection (Q)
|
97% |
29367
350.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
74870
576.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
120588
929.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
58023
463.3 IPS |
|
|
Style Transfer (SP)
|
100% |
285312
366.8 IPS |
|
|
Style Transfer (HP)
|
100% |
792852
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
241422
311.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40299
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62005
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31768
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4171
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4149
71.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2270
42.6 IPS |
