ASRock X870E Taichi Lite
Geekbench AI Score
40002
Single Precision Score
55424
Half Precision Score
29827
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Liosnel |
| Upload Date | October 23 2025 11:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14667
2.73 KIPS |
|
|
Image Classification (HP)
|
99% |
19528
3.64 KIPS |
|
|
Image Classification (Q)
|
100% |
12527
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29066
471.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
37570
609.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
26077
424.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
306068
357.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
601460
701.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
263941
309.2 IPS |
|
|
Object Detection (SP)
|
100% |
19749
1.57 KIPS |
|
|
Object Detection (HP)
|
100% |
24665
1.96 KIPS |
|
|
Object Detection (Q)
|
86% |
16049
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
60144
714.6 IPS |
|
|
Face Detection (HP)
|
100% |
77872
925.3 IPS |
|
|
Face Detection (Q)
|
97% |
46952
559.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
100929
777.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
162311
1.25 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76301
610.2 IPS |
|
|
Style Transfer (SP)
|
100% |
559330
719.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1051840
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
483821
623.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62775
2.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83760
3.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43437
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3573
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1946
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
6157
106.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6317
108.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2749
51.6 IPS |
