ASRock X670E Taichi Carrara
Geekbench AI Score
9970
Single Precision Score
10092
Half Precision Score
24027
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | sabin1001 |
| Upload Date | December 22 2025 11:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X 16-Core Processor |
| 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% |
5679
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5755
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
13916
2.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7857
127.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7672
124.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20174
327.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16995
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17082
19.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
66488
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
6193
491.2 IPS |
|
|
Object Detection (HP)
|
100% |
6127
486.0 IPS |
|
|
Object Detection (Q)
|
88% |
15103
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
14293
169.8 IPS |
|
|
Face Detection (HP)
|
100% |
14562
173.0 IPS |
|
|
Face Detection (Q)
|
100% |
38170
453.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16532
127.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
16522
127.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
46290
360.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42866
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43195
55.5 IPS |
|
|
Style Transfer (Q)
|
98% |
158122
203.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8845
326.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8945
330.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24862
920.7 IPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
92% |
4435
5.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6274
108.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6476
111.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7385
127.2 IPS |
