ASUS System Product Name
Geekbench AI Score
6949
Single Precision Score
7080
Half Precision Score
14778
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | O-EtaIXVII |
| Upload Date | December 22 2024 06:49 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | High 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4223
785.4 IPS |
|
|
Image Classification (HP)
|
100% |
4254
791.2 IPS |
|
|
Image Classification (Q)
|
100% |
9420
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5425
87.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5588
90.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11004
178.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12711
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12759
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
35015
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
3824
303.4 IPS |
|
|
Object Detection (HP)
|
100% |
3793
300.9 IPS |
|
|
Object Detection (Q)
|
88% |
10551
845.8 IPS |
|
|
Face Detection (SP)
|
100% |
12658
150.4 IPS |
|
|
Face Detection (HP)
|
100% |
12459
148.0 IPS |
|
|
Face Detection (Q)
|
100% |
26601
316.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12090
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11321
87.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
30125
234.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33595
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35740
45.9 IPS |
|
|
Style Transfer (Q)
|
98% |
49986
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4973
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5487
202.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17832
660.4 IPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (Q)
|
92% |
5888
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3190
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3085
53.1 IPS |
