ASRock Z890 Taichi
Geekbench AI Score
33965
Single Precision Score
58056
Half Precision Score
25414
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | BrickOfReality |
| Upload Date | November 07 2025 04:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z890 Taichi |
| Motherboard | ASRock Z890 Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13887
2.58 KIPS |
|
|
Image Classification (HP)
|
100% |
20965
3.90 KIPS |
|
|
Image Classification (Q)
|
100% |
12131
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26159
424.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
38515
624.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22889
372.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
177057
206.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
670983
782.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
158744
185.9 IPS |
|
|
Object Detection (SP)
|
100% |
17541
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
27711
2.20 KIPS |
|
|
Object Detection (Q)
|
86% |
14179
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
51216
608.6 IPS |
|
|
Face Detection (HP)
|
100% |
74231
882.0 IPS |
|
|
Face Detection (Q)
|
97% |
41616
496.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
84335
649.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
142443
1.10 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62755
501.1 IPS |
|
|
Style Transfer (SP)
|
100% |
318957
410.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1017406
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
264751
341.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46417
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76775
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36890
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4967
6.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2276
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
7105
122.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7063
121.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3098
58.1 IPS |
