ASRock X670E Taichi
Geekbench AI Score
2467
Single Precision Score
2487
Half Precision Score
2380
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 14 2025 09:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | ASRock X670E Taichi |
| Motherboard | ASRock X670E Taichi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.88 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 122.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1614
300.1 IPS |
|
|
Image Classification (HP)
|
100% |
1714
318.8 IPS |
|
|
Image Classification (Q)
|
99% |
1628
303.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3065
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3092
50.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1583
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3454
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3385
3.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
6320
7.41 IPS |
|
|
Object Detection (SP)
|
100% |
1866
148.0 IPS |
|
|
Object Detection (HP)
|
100% |
1934
153.4 IPS |
|
|
Object Detection (Q)
|
85% |
2000
161.0 IPS |
|
|
Face Detection (SP)
|
100% |
2776
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
3426
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2762
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2775
21.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2945
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3390
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3391
4.36 IPS |
|
|
Style Transfer (Q)
|
98% |
8458
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1757
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1762
65.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2610
96.7 IPS |
|
|
Text Classification (SP)
|
100% |
1701
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1759
2.35 KIPS |
|
|
Text Classification (Q)
|
92% |
947
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3381
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3237
55.8 IPS |
|
|
Machine Translation (Q)
|
58% |
852
20.0 IPS |
