ASRock X600M-STX
Geekbench AI Score
23553
Single Precision Score
37534
Half Precision Score
18956
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 17 2025 03:05 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% |
9280
1.73 KIPS |
|
|
Image Classification (HP)
|
100% |
13987
2.60 KIPS |
|
|
Image Classification (Q)
|
100% |
8602
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14002
227.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18281
296.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13296
216.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
157722
184.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
412088
480.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
134722
157.8 IPS |
|
|
Object Detection (SP)
|
100% |
12059
956.5 IPS |
|
|
Object Detection (HP)
|
100% |
17708
1.40 KIPS |
|
|
Object Detection (Q)
|
83% |
10530
850.7 IPS |
|
|
Face Detection (SP)
|
100% |
30432
361.6 IPS |
|
|
Face Detection (HP)
|
100% |
40222
477.9 IPS |
|
|
Face Detection (Q)
|
97% |
26447
315.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
65030
501.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111786
861.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
52281
417.3 IPS |
|
|
Style Transfer (SP)
|
100% |
217755
279.9 IPS |
|
|
Style Transfer (HP)
|
100% |
660950
849.7 IPS |
|
|
Style Transfer (Q)
|
98% |
190407
245.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37464
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61283
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30073
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2078
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4110
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4188
72.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2245
42.1 IPS |
