ASRock X670E Taichi
Geekbench AI Score
38752
Single Precision Score
64429
Half Precision Score
29081
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | topgun966 |
| Upload Date | April 01 2025 07:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASRock X670E Taichi |
| Motherboard | ASRock X670E Taichi |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14787
2.75 KIPS |
|
|
Image Classification (HP)
|
100% |
21344
3.97 KIPS |
|
|
Image Classification (Q)
|
100% |
12814
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31307
507.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
46734
757.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
27783
451.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
244611
285.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
739180
862.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
206245
241.6 IPS |
|
|
Object Detection (SP)
|
100% |
20446
1.62 KIPS |
|
|
Object Detection (HP)
|
100% |
31090
2.47 KIPS |
|
|
Object Detection (Q)
|
86% |
17394
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
60788
722.3 IPS |
|
|
Face Detection (HP)
|
100% |
91080
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
48800
581.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
94732
729.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
166327
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
70434
562.5 IPS |
|
|
Style Transfer (SP)
|
100% |
354654
455.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1177047
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
309273
398.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57569
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86182
3.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42888
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3657
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4498
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2289
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
7672
132.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7780
134.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3246
60.9 IPS |
