ASUS System Product Name
Geekbench AI Score
34239
Single Precision Score
46893
Half Precision Score
29124
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | December 13 2025 04:13 PM |
| Views | 9 |
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. TUF GAMING B550M-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900XT 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15495
2.88 KIPS |
|
|
Image Classification (HP)
|
100% |
17755
3.30 KIPS |
|
|
Image Classification (Q)
|
99% |
14390
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18223
295.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21156
342.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
22855
371.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
215497
251.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
647898
756.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
195538
229.0 IPS |
|
|
Object Detection (SP)
|
100% |
16711
1.33 KIPS |
|
|
Object Detection (HP)
|
99% |
19863
1.58 KIPS |
|
|
Object Detection (Q)
|
87% |
12841
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
50105
595.4 IPS |
|
|
Face Detection (HP)
|
100% |
56229
668.1 IPS |
|
|
Face Detection (Q)
|
97% |
44540
531.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
85634
659.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
124959
962.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
71351
571.8 IPS |
|
|
Style Transfer (SP)
|
100% |
388640
499.6 IPS |
|
|
Style Transfer (HP)
|
100% |
694838
893.2 IPS |
|
|
Style Transfer (Q)
|
98% |
355247
458.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51414
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81518
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42836
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3951
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4263
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2888
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
6430
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6269
108.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3807
71.4 IPS |
