ASRock X870E Taichi
Geekbench AI Score
7247
Single Precision Score
2932
Half Precision Score
12966
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | rbtree |
| Upload Date | July 26 2025 10:26 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi |
| Motherboard | ASRock X870E Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5372
998.9 IPS |
|
|
Image Classification (HP)
|
100% |
982
182.6 IPS |
|
|
Image Classification (Q)
|
99% |
12884
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19945
324.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24729
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15015
17.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
73909
86.7 IPS |
|
|
Object Detection (SP)
|
100% |
5592
443.6 IPS |
|
|
Object Detection (HP)
|
100% |
1167
92.6 IPS |
|
|
Object Detection (Q)
|
86% |
14489
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
10402
123.6 IPS |
|
|
Face Detection (HP)
|
100% |
2537
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
15767
188.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16472
126.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4172
32.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
30434
242.9 IPS |
|
|
Style Transfer (SP)
|
100% |
40013
51.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33519
43.1 IPS |
|
|
Style Transfer (Q)
|
98% |
47693
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4729
174.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2514
93.1 IPS |
|
|
Text Classification (SP)
|
100% |
2042
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1912
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4438
89.2 IPS |
