ASUS System Product Name
Geekbench AI Score
26436
Single Precision Score
28776
Half Precision Score
20502
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Tezz |
| Upload Date | February 15 2025 05:13 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11019
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
11159
2.08 KIPS |
|
|
Image Classification (Q)
|
99% |
9437
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16382
265.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13482
218.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13880
225.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
181610
211.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
268898
313.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
156090
182.9 IPS |
|
|
Object Detection (SP)
|
100% |
11779
934.3 IPS |
|
|
Object Detection (HP)
|
100% |
11469
909.7 IPS |
|
|
Object Detection (Q)
|
87% |
10143
814.7 IPS |
|
|
Face Detection (SP)
|
100% |
33070
392.9 IPS |
|
|
Face Detection (HP)
|
100% |
35952
427.2 IPS |
|
|
Face Detection (Q)
|
97% |
27016
322.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
65255
502.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71162
548.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
49089
394.2 IPS |
|
|
Style Transfer (SP)
|
100% |
306734
394.3 IPS |
|
|
Style Transfer (HP)
|
100% |
403994
519.3 IPS |
|
|
Style Transfer (Q)
|
98% |
247532
319.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38284
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45315
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29130
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3783
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2481
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2668
50.0 IPS |
