ASRock X870E Taichi
Geekbench AI Score
13269
Single Precision Score
13362
Half Precision Score
32672
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 10:00 PM |
| Views | 1 |
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, 8 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8252
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
8336
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
20309
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9428
152.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9199
149.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24740
401.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14891
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16098
18.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
66084
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
8539
677.3 IPS |
|
|
Object Detection (HP)
|
100% |
8117
643.8 IPS |
|
|
Object Detection (Q)
|
88% |
21009
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
23295
276.8 IPS |
|
|
Face Detection (HP)
|
100% |
23361
277.6 IPS |
|
|
Face Detection (Q)
|
100% |
54143
643.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21479
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21692
167.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
59660
464.3 IPS |
|
|
Style Transfer (SP)
|
100% |
47010
60.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46272
59.5 IPS |
|
|
Style Transfer (Q)
|
98% |
167966
216.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10359
382.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10387
383.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30306
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
6281
8.38 KIPS |
|
|
Text Classification (HP)
|
100% |
6464
8.63 KIPS |
|
|
Text Classification (Q)
|
92% |
9029
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
11183
192.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11504
198.2 IPS |
|
|
Machine Translation (Q)
|
100% |
13387
230.6 IPS |
