ASUS System Product Name
Geekbench AI Score
5293
Single Precision Score
985
Half Precision Score
5842
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Kruxarn |
| Upload Date | August 20 2024 12:10 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 FORMULA |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3057
568.4 IPS |
|
|
Image Classification (HP)
|
100% |
182
33.8 IPS |
|
|
Image Classification (Q)
|
99% |
4734
882.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
3690
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12919
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5145
6.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
38822
45.5 IPS |
|
|
Object Detection (SP)
|
100% |
3350
265.7 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (Q)
|
88% |
2752
220.6 IPS |
|
|
Face Detection (SP)
|
100% |
5739
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (Q)
|
97% |
6024
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12308
94.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1194
9.20 IPS |
|
|
Depth Estimation (Q)
|
76% |
11052
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29165
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12969
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31094
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2592
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6511
241.1 IPS |
|
|
Text Classification (SP)
|
100% |
1985
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
888
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
636
851.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2531
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2895
64.6 IPS |
