ASRock X870E Taichi
Geekbench AI Score
51477
Single Precision Score
77348
Half Precision Score
37286
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 23 2025 04:53 AM |
| Views | 17 |
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 |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17927
3.33 KIPS |
|
|
Image Classification (HP)
|
100% |
23510
4.37 KIPS |
|
|
Image Classification (Q)
|
100% |
15281
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40167
651.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
52632
853.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
36919
600.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
423934
494.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
998486
1.17 KIPS |
|
|
Pose Estimation (Q)
|
96% |
328916
385.3 IPS |
|
|
Object Detection (SP)
|
100% |
26753
2.12 KIPS |
|
|
Object Detection (HP)
|
100% |
36051
2.86 KIPS |
|
|
Object Detection (Q)
|
85% |
21776
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
80797
960.0 IPS |
|
|
Face Detection (HP)
|
100% |
109987
1.31 KIPS |
|
|
Face Detection (Q)
|
97% |
63779
760.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
114844
884.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
199178
1.53 KIPS |
|
|
Depth Estimation (Q)
|
77% |
81836
655.5 IPS |
|
|
Style Transfer (SP)
|
100% |
650493
836.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1868601
2.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
546143
704.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79396
2.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103897
3.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55248
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4273
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5137
6.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2485
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
7813
134.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7877
135.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3285
61.6 IPS |
