ASRock X670E Taichi Carrara
Geekbench AI Score
9763
Single Precision Score
9782
Half Precision Score
23151
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | sabin1001 |
| Upload Date | December 22 2025 11:13 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% |
5386
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5385
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
13107
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7725
125.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7428
120.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20124
326.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16744
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16861
19.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
65241
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
5929
470.3 IPS |
|
|
Object Detection (HP)
|
100% |
6036
478.8 IPS |
|
|
Object Detection (Q)
|
88% |
13831
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
13999
166.3 IPS |
|
|
Face Detection (HP)
|
100% |
15020
178.5 IPS |
|
|
Face Detection (Q)
|
100% |
36708
436.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16367
126.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16217
124.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
44736
348.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42723
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
42888
55.1 IPS |
|
|
Style Transfer (Q)
|
98% |
156937
202.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8532
315.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8663
319.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24102
892.6 IPS |
|
|
Text Classification (SP)
|
100% |
3642
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (Q)
|
92% |
4372
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
6266
107.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6054
104.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6843
117.9 IPS |
