ASUS System Product Name
Geekbench AI Score
5680
Single Precision Score
5710
Half Precision Score
14854
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | molaikull |
| Upload Date | September 04 2024 08:19 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Performances optimales |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2931
545.0 IPS |
|
|
Image Classification (HP)
|
100% |
3460
643.4 IPS |
|
|
Image Classification (Q)
|
100% |
9545
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4959
80.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4730
76.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9280
150.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11083
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11178
13.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27461
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
3134
248.6 IPS |
|
|
Object Detection (HP)
|
100% |
3138
248.9 IPS |
|
|
Object Detection (Q)
|
88% |
8963
718.5 IPS |
|
|
Face Detection (SP)
|
100% |
10404
123.6 IPS |
|
|
Face Detection (HP)
|
100% |
9936
118.1 IPS |
|
|
Face Detection (Q)
|
100% |
23072
274.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10060
77.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
10372
79.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
24911
197.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31895
41.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32387
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
84951
109.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5092
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17666
654.2 IPS |
|
|
Text Classification (SP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1414
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
4721
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2671
46.0 IPS |
|
|
Machine Translation (Q)
|
85% |
5893
103.1 IPS |
