ASRock B650E Taichi Lite
Geekbench AI Score
30345
Single Precision Score
33369
Half Precision Score
23002
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dshinkarev |
| Upload Date | February 17 2025 05:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E Taichi Lite |
| Motherboard | ASRock B650E Taichi Lite |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12914
2.40 KIPS |
|
|
Image Classification (HP)
|
100% |
12660
2.35 KIPS |
|
|
Image Classification (Q)
|
99% |
10313
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19559
317.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16183
262.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16591
269.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
188241
219.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
302480
352.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
165209
193.6 IPS |
|
|
Object Detection (SP)
|
100% |
14286
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
14614
1.16 KIPS |
|
|
Object Detection (Q)
|
87% |
11657
936.2 IPS |
|
|
Face Detection (SP)
|
100% |
38935
462.6 IPS |
|
|
Face Detection (HP)
|
100% |
42612
506.3 IPS |
|
|
Face Detection (Q)
|
97% |
31648
377.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
73037
562.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78284
603.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
54441
437.2 IPS |
|
|
Style Transfer (SP)
|
100% |
365977
470.5 IPS |
|
|
Style Transfer (HP)
|
100% |
487469
626.6 IPS |
|
|
Style Transfer (Q)
|
98% |
287437
370.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41731
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49005
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30533
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
4136
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4297
5.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2708
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5426
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5520
95.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3074
57.6 IPS |
