ASUS System Product Name
Geekbench AI Score
5914
Single Precision Score
5838
Half Precision Score
13153
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | molaikull |
| Upload Date | February 01 2025 11:37 PM |
| Views | 9 |
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 | Utilisation normale |
| 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% |
3513
653.3 IPS |
|
|
Image Classification (HP)
|
100% |
3498
650.4 IPS |
|
|
Image Classification (Q)
|
100% |
8420
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4845
78.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4815
78.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9560
155.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10605
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10272
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
27633
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
2969
235.5 IPS |
|
|
Object Detection (HP)
|
100% |
3024
239.9 IPS |
|
|
Object Detection (Q)
|
88% |
8758
702.1 IPS |
|
|
Face Detection (SP)
|
100% |
10433
124.0 IPS |
|
|
Face Detection (HP)
|
100% |
10442
124.1 IPS |
|
|
Face Detection (Q)
|
100% |
22595
268.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10444
80.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10037
77.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
25484
198.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31653
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30922
39.8 IPS |
|
|
Style Transfer (Q)
|
98% |
80733
104.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5235
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5024
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15233
564.1 IPS |
|
|
Text Classification (SP)
|
100% |
2479
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2602
3.47 KIPS |
|
|
Text Classification (Q)
|
92% |
5356
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2098
36.1 IPS |
