ASRock X870E Taichi
Geekbench AI Score
11645
Single Precision Score
11592
Half Precision Score
29286
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | metaphase |
| Upload Date | October 13 2025 02:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi |
| Motherboard | ASRock X870E Taichi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.35 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6014
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6063
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
15760
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8010
129.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7970
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24206
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21038
24.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
20415
23.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
84098
98.5 IPS |
|
|
Object Detection (SP)
|
100% |
6850
543.4 IPS |
|
|
Object Detection (HP)
|
100% |
6616
524.8 IPS |
|
|
Object Detection (Q)
|
88% |
17907
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
15899
188.9 IPS |
|
|
Face Detection (HP)
|
100% |
15798
187.7 IPS |
|
|
Face Detection (Q)
|
100% |
47352
562.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19458
149.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19643
151.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
56273
437.9 IPS |
|
|
Style Transfer (SP)
|
100% |
55729
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54613
70.2 IPS |
|
|
Style Transfer (Q)
|
98% |
198623
256.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11466
423.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11168
412.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32397
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4274
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4461
5.95 KIPS |
|
|
Text Classification (Q)
|
92% |
5483
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
7823
134.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7953
137.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8593
148.0 IPS |
