ASUS System Product Name
Geekbench AI Score
45449
Single Precision Score
66037
Half Precision Score
33381
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 05:28 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z790-P WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16460
3.06 KIPS |
|
|
Image Classification (HP)
|
100% |
21303
3.96 KIPS |
|
|
Image Classification (Q)
|
100% |
14008
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32839
532.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
36323
588.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
31085
505.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
385844
450.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
895032
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
299751
351.1 IPS |
|
|
Object Detection (SP)
|
100% |
21854
1.73 KIPS |
|
|
Object Detection (HP)
|
100% |
27879
2.21 KIPS |
|
|
Object Detection (Q)
|
85% |
18642
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
64884
771.0 IPS |
|
|
Face Detection (HP)
|
100% |
83658
994.0 IPS |
|
|
Face Detection (Q)
|
97% |
52965
631.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
105484
812.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
184034
1.42 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74994
600.7 IPS |
|
|
Style Transfer (SP)
|
100% |
580396
746.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1633178
2.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
488262
629.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72412
2.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95435
3.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51828
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
4147
5.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4943
6.60 KIPS |
|
|
Text Classification (Q)
|
97% |
2447
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6917
119.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6887
118.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2871
53.8 IPS |
