ASUS System Product Name
Geekbench AI Score
4659
Single Precision Score
901
Half Precision Score
5553
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wilhelm |
| Upload Date | August 21 2024 08:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| Power Plan | Ausbalanciert |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2481
461.4 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
99% |
4508
840.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2367
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
3421
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11820
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4897
5.71 IPS |
|
|
Pose Estimation (Q)
|
95% |
36663
43.0 IPS |
|
|
Object Detection (SP)
|
100% |
2945
233.6 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
88% |
2662
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
5364
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
355
4.22 IPS |
|
|
Face Detection (Q)
|
97% |
5596
66.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10857
83.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1013
7.80 IPS |
|
|
Depth Estimation (Q)
|
76% |
11719
94.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25642
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12348
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29908
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4060
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2410
89.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5329
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
1758
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
636
852.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2216
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2790
62.2 IPS |
