ASUS System Product Name
Geekbench AI Score
5168
Single Precision Score
942
Half Precision Score
6775
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | lautajo |
| Upload Date | August 23 2024 01:23 PM |
| 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% |
2686
499.5 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (Q)
|
99% |
4811
897.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2596
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
3883
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12950
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5264
6.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
38429
45.0 IPS |
|
|
Object Detection (SP)
|
100% |
3488
276.7 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.2 IPS |
|
|
Object Detection (Q)
|
88% |
2853
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (Q)
|
97% |
6088
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12081
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1096
8.44 IPS |
|
|
Depth Estimation (Q)
|
76% |
13358
107.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28489
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13247
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34972
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4403
162.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2448
90.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5749
212.9 IPS |
|
|
Text Classification (SP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1851
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2416
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3289
73.4 IPS |
