ASUS System Product Name
Geekbench AI Score
39752
Single Precision Score
56038
Half Precision Score
33851
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 11:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18448
3.43 KIPS |
|
|
Image Classification (HP)
|
100% |
21005
3.91 KIPS |
|
|
Image Classification (Q)
|
99% |
16834
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21477
348.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25222
408.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
28343
460.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
221931
259.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
690917
806.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
201150
235.6 IPS |
|
|
Object Detection (SP)
|
100% |
20136
1.60 KIPS |
|
|
Object Detection (HP)
|
99% |
23993
1.90 KIPS |
|
|
Object Detection (Q)
|
87% |
18408
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
61733
733.5 IPS |
|
|
Face Detection (HP)
|
100% |
75322
895.0 IPS |
|
|
Face Detection (Q)
|
97% |
53553
638.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
91012
701.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
134539
1.04 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76159
610.3 IPS |
|
|
Style Transfer (SP)
|
100% |
413042
531.0 IPS |
|
|
Style Transfer (HP)
|
100% |
794293
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
386361
498.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56769
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93584
3.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47298
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
5096
6.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5455
7.28 KIPS |
|
|
Text Classification (Q)
|
97% |
3475
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
8290
142.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8462
145.8 IPS |
|
|
Machine Translation (Q)
|
70% |
4318
81.0 IPS |
