ASUSTeK COMPUTER INC. System Product Name
Geekbench AI Score
4481
Single Precision Score
863
Half Precision Score
5350
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dank1 |
| Upload Date | August 16 2024 12:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUSTeK COMPUTER INC. System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W680-ACE IPMI |
| Power Plan | High performance |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2389
444.3 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (Q)
|
99% |
4275
797.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
3357
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11329
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4730
5.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
34220
40.1 IPS |
|
|
Object Detection (SP)
|
100% |
2912
231.0 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
88% |
2520
202.0 IPS |
|
|
Face Detection (SP)
|
100% |
4379
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
335
3.99 IPS |
|
|
Face Detection (Q)
|
97% |
5157
61.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10171
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1012
7.80 IPS |
|
|
Depth Estimation (Q)
|
76% |
11364
91.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25045
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
12014
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25949
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4174
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2227
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5670
210.0 IPS |
|
|
Text Classification (SP)
|
100% |
1835
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
699
932.8 IPS |
|
|
Text Classification (Q)
|
97% |
640
857.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2121
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2815
62.8 IPS |
