ASUS System Product Name
Geekbench AI Score
45800
Single Precision Score
67375
Half Precision Score
33658
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 27 2025 07:46 AM |
| Views | 2 |
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% |
16659
3.10 KIPS |
|
|
Image Classification (HP)
|
100% |
21327
3.97 KIPS |
|
|
Image Classification (Q)
|
100% |
14154
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35930
582.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
45255
733.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
32397
526.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
390959
456.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
893707
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
313425
367.1 IPS |
|
|
Object Detection (SP)
|
100% |
22363
1.77 KIPS |
|
|
Object Detection (HP)
|
100% |
28569
2.27 KIPS |
|
|
Object Detection (Q)
|
85% |
18571
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
64055
761.1 IPS |
|
|
Face Detection (HP)
|
100% |
81873
972.8 IPS |
|
|
Face Detection (Q)
|
97% |
52432
625.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
102722
791.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
187385
1.44 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72780
582.9 IPS |
|
|
Style Transfer (SP)
|
100% |
588110
756.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1639235
2.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
488345
629.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72227
2.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93504
3.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51817
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4809
6.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2367
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6982
120.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6917
119.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3059
57.4 IPS |
