ASUS System Product Name
Geekbench AI Score
20131
Single Precision Score
20720
Half Precision Score
15655
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 07:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9224
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
7072
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
7871
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12657
205.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10217
165.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10941
177.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
116085
135.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
180715
210.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
99677
116.8 IPS |
|
|
Object Detection (SP)
|
100% |
9089
720.9 IPS |
|
|
Object Detection (HP)
|
100% |
6965
552.5 IPS |
|
|
Object Detection (Q)
|
87% |
7896
634.2 IPS |
|
|
Face Detection (SP)
|
100% |
27211
323.3 IPS |
|
|
Face Detection (HP)
|
100% |
30035
356.9 IPS |
|
|
Face Detection (Q)
|
97% |
21663
258.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
50422
388.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
56750
437.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
38160
306.4 IPS |
|
|
Style Transfer (SP)
|
100% |
213178
274.0 IPS |
|
|
Style Transfer (HP)
|
100% |
266743
342.9 IPS |
|
|
Style Transfer (Q)
|
98% |
170811
220.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34891
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41115
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24477
906.3 IPS |
|
|
Text Classification (SP)
|
100% |
2052
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1551
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2435
45.7 IPS |
