ASRock X870E Taichi Lite
Geekbench AI Score
5858
Single Precision Score
1990
Half Precision Score
9583
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | NokiyaMeego |
| Upload Date | January 13 2025 09:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870E Taichi Lite |
| Motherboard | ASRock X870E Taichi Lite |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4544
845.0 IPS |
|
|
Image Classification (HP)
|
100% |
624
116.0 IPS |
|
|
Image Classification (Q)
|
99% |
8888
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4260
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16796
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11206
13.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
47191
55.3 IPS |
|
|
Object Detection (SP)
|
100% |
4515
358.1 IPS |
|
|
Object Detection (HP)
|
100% |
781
62.0 IPS |
|
|
Object Detection (Q)
|
86% |
10319
829.3 IPS |
|
|
Face Detection (SP)
|
100% |
8235
97.8 IPS |
|
|
Face Detection (HP)
|
100% |
1550
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
12007
143.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13490
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3037
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
22511
179.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30487
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27293
35.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42377
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3071
113.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4226
156.5 IPS |
|
|
Text Classification (SP)
|
100% |
1627
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1537
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3340
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
828
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4764
95.7 IPS |
