ASUS System Product Name
Geekbench AI Score
38693
Single Precision Score
55861
Half Precision Score
33124
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 05 2025 11:35 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| 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% |
18112
3.37 KIPS |
|
|
Image Classification (HP)
|
100% |
20742
3.86 KIPS |
|
|
Image Classification (Q)
|
99% |
16869
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21142
342.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25005
405.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
27954
454.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
219779
256.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
688823
803.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
199279
233.4 IPS |
|
|
Object Detection (SP)
|
100% |
16684
1.32 KIPS |
|
|
Object Detection (HP)
|
99% |
23977
1.90 KIPS |
|
|
Object Detection (Q)
|
87% |
15496
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
60380
717.4 IPS |
|
|
Face Detection (HP)
|
100% |
75072
892.0 IPS |
|
|
Face Detection (Q)
|
97% |
52875
630.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
90362
696.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
138172
1.06 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74857
599.9 IPS |
|
|
Style Transfer (SP)
|
100% |
412670
530.5 IPS |
|
|
Style Transfer (HP)
|
100% |
754502
969.9 IPS |
|
|
Style Transfer (Q)
|
98% |
377460
486.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56390
2.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92269
3.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46289
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
5220
6.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5750
7.68 KIPS |
|
|
Text Classification (Q)
|
97% |
3630
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
8083
139.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8319
143.3 IPS |
|
|
Machine Translation (Q)
|
70% |
4350
81.6 IPS |
