ASUS System Product Name
Geekbench AI Score
47808
Single Precision Score
70977
Half Precision Score
35566
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ZKAPARTS |
| Upload Date | December 06 2025 03:48 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% |
17463
3.25 KIPS |
|
|
Image Classification (HP)
|
100% |
22084
4.11 KIPS |
|
|
Image Classification (Q)
|
100% |
15230
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33160
537.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
40967
664.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
31247
508.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
407370
475.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
1010149
1.18 KIPS |
|
|
Pose Estimation (Q)
|
96% |
331611
388.4 IPS |
|
|
Object Detection (SP)
|
100% |
24039
1.91 KIPS |
|
|
Object Detection (HP)
|
100% |
31448
2.49 KIPS |
|
|
Object Detection (Q)
|
85% |
19934
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
73926
878.4 IPS |
|
|
Face Detection (HP)
|
100% |
97934
1.16 KIPS |
|
|
Face Detection (Q)
|
97% |
59079
704.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
109568
844.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
195797
1.51 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79523
636.9 IPS |
|
|
Style Transfer (SP)
|
100% |
632726
813.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1761786
2.26 KIPS |
|
|
Style Transfer (Q)
|
98% |
521636
672.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76350
2.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100790
3.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55003
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
4236
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4941
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2493
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6637
114.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6711
115.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3064
57.5 IPS |
