ASUS System Product Name
Geekbench AI Score
7757
Single Precision Score
8361
Half Precision Score
18666
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 07:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900KS |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5547
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5657
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
11083
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6413
104.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6362
103.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11327
183.6 IPS |
|
|
Pose Estimation (SP)
|
50% |
5574
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11096
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
39897
46.8 IPS |
|
|
Object Detection (SP)
|
100% |
5423
430.1 IPS |
|
|
Object Detection (HP)
|
100% |
5432
430.8 IPS |
|
|
Object Detection (Q)
|
88% |
12097
969.7 IPS |
|
|
Face Detection (SP)
|
100% |
17463
207.5 IPS |
|
|
Face Detection (HP)
|
100% |
17758
211.0 IPS |
|
|
Face Detection (Q)
|
100% |
31146
370.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
14724
113.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14560
112.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
34424
267.7 IPS |
|
|
Style Transfer (SP)
|
99% |
33573
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33477
43.0 IPS |
|
|
Style Transfer (Q)
|
98% |
110624
142.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6881
254.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6979
257.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20647
764.6 IPS |
|
|
Text Classification (SP)
|
100% |
1922
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1990
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
5466
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6433
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6403
110.3 IPS |
|
|
Machine Translation (Q)
|
100% |
6334
109.1 IPS |
