ASUS System Product Name
Geekbench AI Score
36479
Single Precision Score
50095
Half Precision Score
27015
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dennis_dydx |
| Upload Date | December 29 2024 11:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13193
2.45 KIPS |
|
|
Image Classification (HP)
|
99% |
18366
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
10365
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20249
328.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24164
391.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18697
304.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
319104
372.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
520125
606.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
269067
315.3 IPS |
|
|
Object Detection (SP)
|
100% |
17872
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
23121
1.83 KIPS |
|
|
Object Detection (Q)
|
86% |
14859
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
47946
569.7 IPS |
|
|
Face Detection (HP)
|
100% |
57492
683.1 IPS |
|
|
Face Detection (Q)
|
97% |
40879
487.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
95456
735.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
158671
1.22 KIPS |
|
|
Depth Estimation (Q)
|
77% |
69135
552.9 IPS |
|
|
Style Transfer (SP)
|
100% |
569139
731.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1062907
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
481051
620.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55495
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82691
3.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41844
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4902
6.54 KIPS |
|
|
Text Classification (Q)
|
97% |
2025
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4780
82.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4745
81.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2320
43.5 IPS |
