ASRock B650E Taichi Lite
Geekbench AI Score
30421
Single Precision Score
33225
Half Precision Score
22155
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dshinkarev |
| Upload Date | September 17 2024 03:07 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12528
2.33 KIPS |
|
|
Image Classification (HP)
|
100% |
12133
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9852
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19718
319.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16416
266.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16619
270.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
202684
236.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
310701
362.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
166798
195.4 IPS |
|
|
Object Detection (SP)
|
100% |
14138
1.12 KIPS |
|
|
Object Detection (HP)
|
100% |
14261
1.13 KIPS |
|
|
Object Detection (Q)
|
89% |
11054
885.2 IPS |
|
|
Face Detection (SP)
|
100% |
35915
426.8 IPS |
|
|
Face Detection (HP)
|
100% |
39297
466.9 IPS |
|
|
Face Detection (Q)
|
97% |
26886
320.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
70765
545.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78171
602.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
52005
419.2 IPS |
|
|
Style Transfer (SP)
|
100% |
369539
475.0 IPS |
|
|
Style Transfer (HP)
|
100% |
496378
638.1 IPS |
|
|
Style Transfer (Q)
|
98% |
293068
377.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43259
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49645
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31336
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4288
5.72 KIPS |
|
|
Text Classification (HP)
|
100% |
4416
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2792
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5505
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5558
95.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2633
58.7 IPS |
