ASUS System Product Name
Geekbench AI Score
28854
Single Precision Score
31805
Half Precision Score
21215
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 12:42 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 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11414
2.12 KIPS |
|
|
Image Classification (HP)
|
100% |
11361
2.11 KIPS |
|
|
Image Classification (Q)
|
100% |
9131
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19237
311.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15551
252.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16430
267.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
193908
226.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
293368
342.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
160760
188.4 IPS |
|
|
Object Detection (SP)
|
100% |
13470
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
13791
1.09 KIPS |
|
|
Object Detection (Q)
|
89% |
10588
847.9 IPS |
|
|
Face Detection (SP)
|
100% |
34358
408.2 IPS |
|
|
Face Detection (HP)
|
100% |
37957
451.0 IPS |
|
|
Face Detection (Q)
|
97% |
26278
313.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
65644
505.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
72989
562.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
49161
396.3 IPS |
|
|
Style Transfer (SP)
|
100% |
333813
429.1 IPS |
|
|
Style Transfer (HP)
|
100% |
448217
576.2 IPS |
|
|
Style Transfer (Q)
|
98% |
267992
345.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42614
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50399
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31353
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4035
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4267
5.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2551
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5389
92.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5549
95.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2613
58.3 IPS |
