ASRock B650M Pro X3D
Geekbench AI Score
30382
Single Precision Score
54589
Half Precision Score
23174
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 11:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B650M Pro X3D |
| Motherboard | ASRock B650M Pro X3D |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12086
2.25 KIPS |
|
|
Image Classification (HP)
|
100% |
21418
3.98 KIPS |
|
|
Image Classification (Q)
|
100% |
10891
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22188
359.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
34746
563.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20478
333.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
169438
197.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
492495
574.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
146655
171.8 IPS |
|
|
Object Detection (SP)
|
100% |
16360
1.30 KIPS |
|
|
Object Detection (HP)
|
100% |
28976
2.30 KIPS |
|
|
Object Detection (Q)
|
83% |
13498
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
44397
527.5 IPS |
|
|
Face Detection (HP)
|
100% |
69241
822.7 IPS |
|
|
Face Detection (Q)
|
97% |
36211
431.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
70945
546.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
134346
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54742
436.9 IPS |
|
|
Style Transfer (SP)
|
100% |
235447
302.7 IPS |
|
|
Style Transfer (HP)
|
100% |
810016
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
200558
258.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44292
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84243
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34670
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4082
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
5066
6.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2458
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6724
115.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6881
118.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2987
56.0 IPS |
