ASUS System Product Name
Geekbench AI Score
33351
Single Precision Score
45308
Half Precision Score
25900
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | egoodchild |
| Upload Date | February 24 2025 11:21 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | High 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% |
13016
2.42 KIPS |
|
|
Image Classification (HP)
|
99% |
18178
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11621
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19089
309.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22735
368.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18395
299.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
274828
320.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
468909
547.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
257145
301.3 IPS |
|
|
Object Detection (SP)
|
100% |
16192
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
21326
1.69 KIPS |
|
|
Object Detection (Q)
|
86% |
13813
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
47265
561.6 IPS |
|
|
Face Detection (HP)
|
100% |
57630
684.8 IPS |
|
|
Face Detection (Q)
|
97% |
37063
441.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
89435
689.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
140994
1.09 KIPS |
|
|
Depth Estimation (Q)
|
77% |
65755
525.9 IPS |
|
|
Style Transfer (SP)
|
100% |
516739
664.3 IPS |
|
|
Style Transfer (HP)
|
100% |
943754
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
440292
567.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53609
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69877
2.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40985
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3813
5.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1889
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4318
74.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2154
40.4 IPS |
