ASUS System Product Name
Geekbench AI Score
6853
Single Precision Score
6901
Half Precision Score
15807
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Malcolm123 |
| Upload Date | August 16 2024 08:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| 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, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4507
838.2 IPS |
|
|
Image Classification (HP)
|
100% |
4636
862.1 IPS |
|
|
Image Classification (Q)
|
100% |
9332
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5455
88.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5458
88.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9361
151.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9200
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9176
10.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
33569
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
4485
355.8 IPS |
|
|
Object Detection (HP)
|
100% |
4518
358.3 IPS |
|
|
Object Detection (Q)
|
88% |
10152
813.8 IPS |
|
|
Face Detection (SP)
|
100% |
14052
167.0 IPS |
|
|
Face Detection (HP)
|
100% |
14099
167.5 IPS |
|
|
Face Detection (Q)
|
100% |
25446
302.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11901
91.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
11886
91.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
27787
220.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27723
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
27500
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
93194
120.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5640
208.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5649
208.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16842
623.7 IPS |
|
|
Text Classification (SP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
4727
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5224
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5220
89.9 IPS |
|
|
Machine Translation (Q)
|
85% |
6236
109.1 IPS |
