ASUS System Product Name
Geekbench AI Score
25837
Single Precision Score
38746
Half Precision Score
14967
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | crebby |
| Upload Date | May 10 2025 05:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| Power Plan | Balanced |
| 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% |
10032
1.87 KIPS |
|
|
Image Classification (HP)
|
99% |
13841
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
6512
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17995
291.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
25683
416.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12193
198.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
167238
195.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
356991
416.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
120364
141.0 IPS |
|
|
Object Detection (SP)
|
100% |
12805
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
17973
1.43 KIPS |
|
|
Object Detection (Q)
|
85% |
8148
655.4 IPS |
|
|
Face Detection (SP)
|
100% |
35153
417.7 IPS |
|
|
Face Detection (HP)
|
100% |
49800
591.7 IPS |
|
|
Face Detection (Q)
|
97% |
22256
265.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
63090
486.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
106538
820.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
36603
293.1 IPS |
|
|
Style Transfer (SP)
|
100% |
271218
348.7 IPS |
|
|
Style Transfer (HP)
|
100% |
632073
812.5 IPS |
|
|
Style Transfer (Q)
|
98% |
191685
247.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39697
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56870
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21537
797.5 IPS |
|
|
Text Classification (SP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3842
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1462
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4674
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4563
78.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1474
27.7 IPS |
