ASUS System Product Name
Geekbench AI Score
38445
Single Precision Score
53685
Half Precision Score
32278
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Moklonus |
| Upload Date | March 22 2025 04:33 PM |
| Views | 24 |
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. ProArt X870E-CREATOR WIFI |
| Power Plan | 1usmus Ryzen Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17967
3.34 KIPS |
|
|
Image Classification (HP)
|
100% |
19940
3.71 KIPS |
|
|
Image Classification (Q)
|
99% |
16495
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18588
301.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21778
353.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
23932
389.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
213732
249.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
668028
779.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
191614
224.4 IPS |
|
|
Object Detection (SP)
|
100% |
18982
1.51 KIPS |
|
|
Object Detection (HP)
|
99% |
23286
1.85 KIPS |
|
|
Object Detection (Q)
|
87% |
17549
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
58803
698.7 IPS |
|
|
Face Detection (HP)
|
100% |
71372
848.1 IPS |
|
|
Face Detection (Q)
|
97% |
51357
612.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
86927
669.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
131534
1.01 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72902
584.2 IPS |
|
|
Style Transfer (SP)
|
100% |
395360
508.2 IPS |
|
|
Style Transfer (HP)
|
100% |
746272
959.3 IPS |
|
|
Style Transfer (Q)
|
98% |
359111
463.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54876
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92274
3.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45894
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
4958
6.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4651
6.21 KIPS |
|
|
Text Classification (Q)
|
97% |
3110
4.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
9469
163.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9791
168.7 IPS |
|
|
Machine Translation (Q)
|
70% |
4820
90.4 IPS |
