ASUS System Product Name
Geekbench AI Score
49714
Single Precision Score
72695
Half Precision Score
36819
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ZKAPARTS |
| Upload Date | December 06 2025 08:46 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% |
17901
3.33 KIPS |
|
|
Image Classification (HP)
|
100% |
22376
4.16 KIPS |
|
|
Image Classification (Q)
|
100% |
15097
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37497
607.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
46657
756.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
35106
570.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
434434
506.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
1030357
1.20 KIPS |
|
|
Pose Estimation (Q)
|
96% |
348571
408.3 IPS |
|
|
Object Detection (SP)
|
100% |
25234
2.00 KIPS |
|
|
Object Detection (HP)
|
100% |
31116
2.47 KIPS |
|
|
Object Detection (Q)
|
85% |
20601
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
72524
861.7 IPS |
|
|
Face Detection (HP)
|
100% |
96396
1.15 KIPS |
|
|
Face Detection (Q)
|
97% |
58870
702.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
113954
877.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
197668
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
82391
659.9 IPS |
|
|
Style Transfer (SP)
|
100% |
672202
864.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1838179
2.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
555103
715.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77091
2.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100926
3.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55612
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
4018
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
4753
6.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2471
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
7283
125.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7329
126.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3252
61.0 IPS |
