ASUS System Product Name
Geekbench AI Score
27007
Single Precision Score
30013
Half Precision Score
18721
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 04:01 PM |
| 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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650-A GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10311
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
10373
1.93 KIPS |
|
|
Image Classification (Q)
|
100% |
8061
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18687
302.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15079
244.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
15744
256.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
188548
220.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
278450
324.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
152602
178.8 IPS |
|
|
Object Detection (SP)
|
100% |
12691
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
12954
1.03 KIPS |
|
|
Object Detection (Q)
|
89% |
9460
757.5 IPS |
|
|
Face Detection (SP)
|
100% |
32731
388.9 IPS |
|
|
Face Detection (HP)
|
100% |
36397
432.5 IPS |
|
|
Face Detection (Q)
|
97% |
24838
296.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
59890
461.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
67178
517.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
43680
352.1 IPS |
|
|
Style Transfer (SP)
|
100% |
324249
416.8 IPS |
|
|
Style Transfer (HP)
|
100% |
436894
561.6 IPS |
|
|
Style Transfer (Q)
|
98% |
255617
329.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40906
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47642
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27190
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4087
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1976
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4861
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5054
87.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1938
43.2 IPS |
