ASUS System Product Name
Geekbench AI Score
5167
Single Precision Score
934
Half Precision Score
6960
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | lautajo |
| Upload Date | August 16 2024 11:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| Power Plan | Paras suoritusteho |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2719
505.6 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.6 IPS |
|
|
Image Classification (Q)
|
99% |
4769
889.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2555
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
4117
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13000
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5286
6.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
39586
46.4 IPS |
|
|
Object Detection (SP)
|
100% |
3326
263.8 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
88% |
2846
228.2 IPS |
|
|
Face Detection (SP)
|
100% |
6089
72.3 IPS |
|
|
Face Detection (HP)
|
100% |
367
4.37 IPS |
|
|
Face Detection (Q)
|
97% |
6463
77.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12273
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1085
8.36 IPS |
|
|
Depth Estimation (Q)
|
76% |
14015
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28503
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13250
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38935
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4422
163.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2402
88.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5705
211.2 IPS |
|
|
Text Classification (SP)
|
100% |
2033
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1839
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2359
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3262
72.8 IPS |
