ASUS System Product Name
Geekbench AI Score
5854
Single Precision Score
1731
Half Precision Score
8685
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 05:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z690-PLUS |
| Power Plan | Bilanciato |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4716
877.0 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.5 IPS |
|
|
Image Classification (Q)
|
99% |
7549
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4103
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12178
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5198
6.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
35712
41.9 IPS |
|
|
Object Detection (SP)
|
100% |
4381
347.5 IPS |
|
|
Object Detection (HP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (Q)
|
86% |
8110
651.8 IPS |
|
|
Face Detection (SP)
|
100% |
12345
146.7 IPS |
|
|
Face Detection (HP)
|
100% |
1879
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
12577
150.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13706
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2387
18.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
19532
155.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26867
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12958
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29991
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4262
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2386
88.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5700
211.1 IPS |
|
|
Text Classification (SP)
|
100% |
1817
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1754
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2229
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3699
74.3 IPS |
