ASUS System Product Name
Geekbench AI Score
37056
Single Precision Score
54866
Half Precision Score
29946
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 01:58 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
| 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 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% |
15375
2.86 KIPS |
|
|
Image Classification (HP)
|
100% |
18218
3.39 KIPS |
|
|
Image Classification (Q)
|
99% |
13852
2.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29454
477.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
37834
613.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
27552
448.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
196657
229.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
675846
788.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
172939
202.6 IPS |
|
|
Object Detection (SP)
|
100% |
15393
1.22 KIPS |
|
|
Object Detection (HP)
|
99% |
22598
1.79 KIPS |
|
|
Object Detection (Q)
|
87% |
13959
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
56989
677.2 IPS |
|
|
Face Detection (HP)
|
100% |
67858
806.3 IPS |
|
|
Face Detection (Q)
|
97% |
49752
593.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
81511
628.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
122469
943.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
66890
536.0 IPS |
|
|
Style Transfer (SP)
|
100% |
365633
470.0 IPS |
|
|
Style Transfer (HP)
|
100% |
724429
931.3 IPS |
|
|
Style Transfer (Q)
|
98% |
329081
424.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54401
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91836
3.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43910
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
4469
5.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4998
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2964
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
8626
148.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8499
146.4 IPS |
|
|
Machine Translation (Q)
|
70% |
4417
82.8 IPS |
