ASRock X670E Taichi
Geekbench AI Score
48674
Single Precision Score
71809
Half Precision Score
36262
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kolored |
| Upload Date | August 27 2025 03:47 AM |
| Views | 9 |
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 X670E Taichi |
| Motherboard | ASRock X670E Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16582
3.08 KIPS |
|
|
Image Classification (HP)
|
100% |
20884
3.88 KIPS |
|
|
Image Classification (Q)
|
100% |
14466
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39645
642.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
50183
813.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
36292
590.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
428499
500.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
1038259
1.21 KIPS |
|
|
Pose Estimation (Q)
|
96% |
346338
405.7 IPS |
|
|
Object Detection (SP)
|
100% |
24470
1.94 KIPS |
|
|
Object Detection (HP)
|
100% |
31706
2.51 KIPS |
|
|
Object Detection (Q)
|
85% |
20587
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
75200
893.5 IPS |
|
|
Face Detection (HP)
|
100% |
98502
1.17 KIPS |
|
|
Face Detection (Q)
|
97% |
60100
716.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
111328
857.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
193460
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80880
647.8 IPS |
|
|
Style Transfer (SP)
|
100% |
632335
812.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1731010
2.23 KIPS |
|
|
Style Transfer (Q)
|
98% |
528605
681.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73947
2.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95339
3.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53018
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4324
5.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2326
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
7468
128.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7772
133.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3315
62.2 IPS |
