X570 Taichi
Geekbench AI Score
28513
Single Precision Score
30831
Half Precision Score
21722
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | December 27 2025 04:32 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570 Taichi |
| Motherboard | ASRock X570 Taichi |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12131
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
11836
2.20 KIPS |
|
|
Image Classification (Q)
|
99% |
9777
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18165
294.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14297
231.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14710
239.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
198266
231.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
295490
344.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
164508
192.8 IPS |
|
|
Object Detection (SP)
|
100% |
13039
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
13454
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
10903
875.7 IPS |
|
|
Face Detection (SP)
|
100% |
35425
420.9 IPS |
|
|
Face Detection (HP)
|
100% |
38507
457.6 IPS |
|
|
Face Detection (Q)
|
97% |
28635
341.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
70172
540.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75867
584.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
53042
425.9 IPS |
|
|
Style Transfer (SP)
|
100% |
354075
455.2 IPS |
|
|
Style Transfer (HP)
|
100% |
467176
600.6 IPS |
|
|
Style Transfer (Q)
|
98% |
279486
360.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40262
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47245
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29110
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3540
4.72 KIPS |
|
|
Text Classification (HP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2545
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4971
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5092
87.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2884
54.1 IPS |
