ASUS System Product Name
Geekbench AI Score
38087
Single Precision Score
53121
Half Precision Score
32527
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 11 2025 07:48 AM |
| Views | 19 |
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. PRIME X870-P 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17398
3.24 KIPS |
|
|
Image Classification (HP)
|
100% |
19699
3.66 KIPS |
|
|
Image Classification (Q)
|
99% |
16008
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19976
323.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23438
379.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
26675
433.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
218096
254.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
688220
803.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
196598
230.3 IPS |
|
|
Object Detection (SP)
|
100% |
19137
1.52 KIPS |
|
|
Object Detection (HP)
|
99% |
23240
1.84 KIPS |
|
|
Object Detection (Q)
|
87% |
17551
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
59175
703.1 IPS |
|
|
Face Detection (HP)
|
100% |
70638
839.3 IPS |
|
|
Face Detection (Q)
|
97% |
51473
613.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
87100
671.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
131367
1.01 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73512
589.1 IPS |
|
|
Style Transfer (SP)
|
100% |
412990
530.9 IPS |
|
|
Style Transfer (HP)
|
100% |
751593
966.2 IPS |
|
|
Style Transfer (Q)
|
98% |
374141
482.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55847
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91344
3.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46347
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
4965
6.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5079
6.78 KIPS |
|
|
Text Classification (Q)
|
97% |
3311
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
7503
129.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7489
129.0 IPS |
|
|
Machine Translation (Q)
|
70% |
4142
77.7 IPS |
