ASUS System Product Name
Geekbench AI Score
43271
Single Precision Score
62972
Half Precision Score
32096
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | May 03 2025 02:30 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16045
2.98 KIPS |
|
|
Image Classification (HP)
|
100% |
20553
3.82 KIPS |
|
|
Image Classification (Q)
|
100% |
13591
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30122
488.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
36587
593.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
27621
449.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
382521
446.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
853138
995.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
308907
361.8 IPS |
|
|
Object Detection (SP)
|
100% |
21294
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
26671
2.12 KIPS |
|
|
Object Detection (Q)
|
85% |
17059
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
61094
725.9 IPS |
|
|
Face Detection (HP)
|
100% |
76923
914.0 IPS |
|
|
Face Detection (Q)
|
97% |
50177
598.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
101045
778.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
182438
1.41 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72837
583.4 IPS |
|
|
Style Transfer (SP)
|
100% |
568664
731.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1549846
1.99 KIPS |
|
|
Style Transfer (Q)
|
98% |
480410
619.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67627
2.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86691
3.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49372
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3779
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4515
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2293
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6516
112.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6732
116.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2951
55.3 IPS |
