ASRock X670E Taichi Carrara
Geekbench AI Score
39169
Single Precision Score
45977
Half Precision Score
30688
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | sabin1001 |
| Upload Date | December 22 2025 10:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Taichi Carrara |
| Motherboard | ASRock X670E Taichi Carrara |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16147
3.00 KIPS |
|
|
Image Classification (HP)
|
100% |
17636
3.28 KIPS |
|
|
Image Classification (Q)
|
99% |
13865
2.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27985
453.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24813
402.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25089
408.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
302696
353.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
532175
621.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
265004
310.4 IPS |
|
|
Object Detection (SP)
|
100% |
18979
1.51 KIPS |
|
|
Object Detection (HP)
|
99% |
20613
1.64 KIPS |
|
|
Object Detection (Q)
|
87% |
16182
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
52189
620.1 IPS |
|
|
Face Detection (HP)
|
100% |
57952
688.6 IPS |
|
|
Face Detection (Q)
|
97% |
45272
539.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
79935
615.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
101737
783.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
63195
506.4 IPS |
|
|
Style Transfer (SP)
|
100% |
476969
613.2 IPS |
|
|
Style Transfer (HP)
|
100% |
739708
950.9 IPS |
|
|
Style Transfer (Q)
|
98% |
424145
546.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54437
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65495
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43681
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
4517
6.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4386
5.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2873
3.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
6693
115.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7020
120.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3262
61.2 IPS |
