ASUS System Product Name
Geekbench AI Score
39019
Single Precision Score
57040
Half Precision Score
33587
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | mfurse |
| Upload Date | February 22 2026 09:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18059
3.36 KIPS |
|
|
Image Classification (HP)
|
100% |
21286
3.96 KIPS |
|
|
Image Classification (Q)
|
99% |
16939
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21694
351.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25902
419.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
29061
472.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
222709
259.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
684674
798.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
203459
238.3 IPS |
|
|
Object Detection (SP)
|
100% |
17065
1.35 KIPS |
|
|
Object Detection (HP)
|
99% |
24770
1.96 KIPS |
|
|
Object Detection (Q)
|
87% |
15684
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
62076
737.6 IPS |
|
|
Face Detection (HP)
|
100% |
75314
894.9 IPS |
|
|
Face Detection (Q)
|
97% |
53389
636.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
91173
702.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
142812
1.10 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77108
617.9 IPS |
|
|
Style Transfer (SP)
|
100% |
412821
530.7 IPS |
|
|
Style Transfer (HP)
|
100% |
774121
995.1 IPS |
|
|
Style Transfer (Q)
|
98% |
382910
493.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55917
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
94666
3.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46433
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
5060
6.75 KIPS |
|
|
Text Classification (HP)
|
100% |
5664
7.56 KIPS |
|
|
Text Classification (Q)
|
97% |
3546
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
8311
143.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8734
150.5 IPS |
|
|
Machine Translation (Q)
|
70% |
4482
84.1 IPS |
