ASRock X870E Taichi
Geekbench AI Score
49480
Single Precision Score
75149
Half Precision Score
35648
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 23 2025 05:15 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi |
| Motherboard | ASRock X870E Taichi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17780
3.31 KIPS |
|
|
Image Classification (HP)
|
100% |
23191
4.31 KIPS |
|
|
Image Classification (Q)
|
100% |
14731
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39107
633.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
51113
828.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
34950
568.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
395805
461.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
942931
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
318520
373.1 IPS |
|
|
Object Detection (SP)
|
100% |
26112
2.07 KIPS |
|
|
Object Detection (HP)
|
100% |
34854
2.76 KIPS |
|
|
Object Detection (Q)
|
85% |
21123
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
77667
922.9 IPS |
|
|
Face Detection (HP)
|
100% |
105956
1.26 KIPS |
|
|
Face Detection (Q)
|
97% |
60273
718.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
106856
823.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
197534
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75786
607.0 IPS |
|
|
Style Transfer (SP)
|
100% |
600337
771.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1768474
2.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
502177
647.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76497
2.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104039
3.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53239
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4950
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2435
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7782
134.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7736
133.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3218
60.4 IPS |
