ASUS System Product Name
Geekbench AI Score
49330
Single Precision Score
72579
Half Precision Score
36571
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ZKAPARTS |
| Upload Date | December 06 2025 08:59 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% |
17537
3.26 KIPS |
|
|
Image Classification (HP)
|
100% |
21639
4.02 KIPS |
|
|
Image Classification (Q)
|
100% |
14921
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37157
602.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
47292
766.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
34786
565.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
433276
505.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
1035824
1.21 KIPS |
|
|
Pose Estimation (Q)
|
96% |
348522
408.2 IPS |
|
|
Object Detection (SP)
|
100% |
25564
2.03 KIPS |
|
|
Object Detection (HP)
|
100% |
32368
2.57 KIPS |
|
|
Object Detection (Q)
|
85% |
20858
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
73466
872.9 IPS |
|
|
Face Detection (HP)
|
100% |
96384
1.15 KIPS |
|
|
Face Detection (Q)
|
97% |
58642
699.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
112395
865.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
197061
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
82016
656.9 IPS |
|
|
Style Transfer (SP)
|
100% |
655829
843.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1808142
2.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
542657
699.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77049
2.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100109
3.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55023
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3987
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4727
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2426
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
7107
122.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7275
125.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3256
61.1 IPS |
