ASUS System Product Name
Geekbench AI Score
39099
Single Precision Score
47298
Half Precision Score
30875
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 11:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870-I GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16951
3.15 KIPS |
|
|
Image Classification (HP)
|
100% |
17945
3.34 KIPS |
|
|
Image Classification (Q)
|
99% |
14872
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26347
427.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23234
376.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23840
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
265613
309.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
508316
593.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
237026
277.6 IPS |
|
|
Object Detection (SP)
|
100% |
18737
1.49 KIPS |
|
|
Object Detection (HP)
|
99% |
20626
1.64 KIPS |
|
|
Object Detection (Q)
|
87% |
16392
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
58055
689.8 IPS |
|
|
Face Detection (HP)
|
100% |
67615
803.4 IPS |
|
|
Face Detection (Q)
|
97% |
49352
588.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
80136
617.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
106772
822.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
67746
542.9 IPS |
|
|
Style Transfer (SP)
|
100% |
457919
588.7 IPS |
|
|
Style Transfer (HP)
|
100% |
719830
925.4 IPS |
|
|
Style Transfer (Q)
|
98% |
395498
510.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51847
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71160
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41128
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
4961
6.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4922
6.57 KIPS |
|
|
Text Classification (Q)
|
97% |
3100
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6856
118.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7043
121.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3390
63.6 IPS |
