ASRock B650M Pro X3D WiFi
Geekbench AI Score
28216
Single Precision Score
37512
Half Precision Score
24568
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 10:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M Pro X3D WiFi |
| Motherboard | ASRock B650M Pro X3D WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12490
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
13220
2.46 KIPS |
|
|
Image Classification (Q)
|
99% |
10336
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13821
224.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15703
254.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18038
293.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
217120
253.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
652163
761.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
195859
229.4 IPS |
|
|
Object Detection (SP)
|
100% |
11926
946.0 IPS |
|
|
Object Detection (HP)
|
99% |
15117
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
11215
900.7 IPS |
|
|
Face Detection (SP)
|
100% |
39440
468.6 IPS |
|
|
Face Detection (HP)
|
100% |
46118
548.0 IPS |
|
|
Face Detection (Q)
|
97% |
35114
418.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
84336
649.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
114554
882.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
71396
572.2 IPS |
|
|
Style Transfer (SP)
|
100% |
390010
501.4 IPS |
|
|
Style Transfer (HP)
|
100% |
615236
790.9 IPS |
|
|
Style Transfer (Q)
|
98% |
342814
442.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34353
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49985
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36593
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4826
83.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4973
85.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2658
49.8 IPS |
