ASRock X870E Taichi
Geekbench AI Score
23543
Single Precision Score
35729
Half Precision Score
20610
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 03:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| 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 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12123
2.25 KIPS |
|
|
Image Classification (HP)
|
100% |
14408
2.68 KIPS |
|
|
Image Classification (Q)
|
100% |
11179
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10887
176.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13244
214.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14933
242.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
123947
144.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
411772
480.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
110566
129.5 IPS |
|
|
Object Detection (SP)
|
100% |
10567
838.2 IPS |
|
|
Object Detection (HP)
|
99% |
15811
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
9917
796.5 IPS |
|
|
Face Detection (SP)
|
100% |
30783
365.8 IPS |
|
|
Face Detection (HP)
|
100% |
42706
507.4 IPS |
|
|
Face Detection (Q)
|
97% |
26881
320.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
64927
500.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
92281
711.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
54221
434.8 IPS |
|
|
Style Transfer (SP)
|
100% |
228552
293.8 IPS |
|
|
Style Transfer (HP)
|
100% |
453321
582.8 IPS |
|
|
Style Transfer (Q)
|
98% |
197484
254.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37122
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69303
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31010
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3647
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4274
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2714
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4895
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5158
88.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3120
58.5 IPS |
