ASUS System Product Name
Geekbench AI Score
49519
Single Precision Score
72894
Half Precision Score
36686
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ZKAPARTS |
| Upload Date | December 06 2025 07:10 PM |
| Views | 4 |
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% |
17988
3.35 KIPS |
|
|
Image Classification (HP)
|
100% |
22627
4.21 KIPS |
|
|
Image Classification (Q)
|
100% |
15671
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37756
612.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
47502
770.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
35202
572.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
432509
504.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
1036463
1.21 KIPS |
|
|
Pose Estimation (Q)
|
96% |
346878
406.3 IPS |
|
|
Object Detection (SP)
|
100% |
25554
2.03 KIPS |
|
|
Object Detection (HP)
|
100% |
32441
2.57 KIPS |
|
|
Object Detection (Q)
|
85% |
21305
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
74001
879.3 IPS |
|
|
Face Detection (HP)
|
100% |
96304
1.14 KIPS |
|
|
Face Detection (Q)
|
97% |
59488
709.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
112995
870.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
199210
1.53 KIPS |
|
|
Depth Estimation (Q)
|
77% |
81852
655.6 IPS |
|
|
Style Transfer (SP)
|
100% |
646977
831.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1803531
2.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
532339
686.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77419
2.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101490
3.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54656
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3940
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4647
6.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2387
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
7158
123.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7183
123.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3203
60.1 IPS |
