ASUS System Product Name
Geekbench AI Score
38722
Single Precision Score
54618
Half Precision Score
31610
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 12:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B650M-AYW WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17761
3.30 KIPS |
|
|
Image Classification (HP)
|
100% |
19609
3.65 KIPS |
|
|
Image Classification (Q)
|
99% |
15730
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27401
444.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
35116
569.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25440
413.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
204037
238.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
622907
726.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
187672
219.8 IPS |
|
|
Object Detection (SP)
|
100% |
17983
1.43 KIPS |
|
|
Object Detection (HP)
|
99% |
22229
1.76 KIPS |
|
|
Object Detection (Q)
|
87% |
16028
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
54111
643.0 IPS |
|
|
Face Detection (HP)
|
100% |
65152
774.1 IPS |
|
|
Face Detection (Q)
|
97% |
47975
572.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
86832
669.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
134118
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71715
574.7 IPS |
|
|
Style Transfer (SP)
|
100% |
396895
510.2 IPS |
|
|
Style Transfer (HP)
|
100% |
688717
885.4 IPS |
|
|
Style Transfer (Q)
|
98% |
355850
458.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53691
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90913
3.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42973
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
5515
7.36 KIPS |
|
|
Text Classification (HP)
|
100% |
5827
7.78 KIPS |
|
|
Text Classification (Q)
|
97% |
3638
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
7687
132.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7772
133.9 IPS |
|
|
Machine Translation (Q)
|
70% |
4324
81.1 IPS |
