ASRock X870E Taichi Lite
Geekbench AI Score
28111
Single Precision Score
30642
Half Precision Score
21406
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | NokiyaMeego |
| Upload Date | January 13 2025 09:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
| 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% |
11514
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
11356
2.11 KIPS |
|
|
Image Classification (Q)
|
99% |
9554
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17777
288.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14482
234.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15385
250.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
187506
218.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
277190
323.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
154919
181.5 IPS |
|
|
Object Detection (SP)
|
100% |
13330
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
13329
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
11167
896.9 IPS |
|
|
Face Detection (SP)
|
100% |
35791
425.3 IPS |
|
|
Face Detection (HP)
|
100% |
39097
464.6 IPS |
|
|
Face Detection (Q)
|
97% |
28957
345.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
65396
503.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71744
552.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
49986
401.4 IPS |
|
|
Style Transfer (SP)
|
100% |
311375
400.3 IPS |
|
|
Style Transfer (HP)
|
100% |
422835
543.6 IPS |
|
|
Style Transfer (Q)
|
98% |
256792
331.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40394
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47073
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29430
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3922
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (Q)
|
97% |
2533
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5217
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5287
91.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2867
53.8 IPS |
