ASUS System Product Name
Geekbench AI Score
49750
Single Precision Score
72281
Half Precision Score
36937
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ZKAPARTS |
| Upload Date | December 06 2025 08:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17321
3.22 KIPS |
|
|
Image Classification (HP)
|
100% |
20600
3.83 KIPS |
|
|
Image Classification (Q)
|
100% |
14482
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
36721
595.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
47045
762.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
35614
579.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
438456
511.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
1042857
1.22 KIPS |
|
|
Pose Estimation (Q)
|
96% |
354448
415.2 IPS |
|
|
Object Detection (SP)
|
100% |
25552
2.03 KIPS |
|
|
Object Detection (HP)
|
100% |
31894
2.53 KIPS |
|
|
Object Detection (Q)
|
85% |
20810
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
74897
889.9 IPS |
|
|
Face Detection (HP)
|
100% |
96442
1.15 KIPS |
|
|
Face Detection (Q)
|
97% |
59057
704.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
114754
884.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
199809
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
83608
669.7 IPS |
|
|
Style Transfer (SP)
|
100% |
668919
859.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1801693
2.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
554797
715.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78418
2.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
99936
3.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56802
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
4029
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4742
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2456
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
7176
123.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7340
126.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3252
61.0 IPS |
