ASUS System Product Name
Geekbench AI Score
4846
Single Precision Score
889
Half Precision Score
5709
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | leeghoofd |
| Upload Date | August 17 2024 11:22 AM |
| Views | 35 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| 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 | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2616
486.5 IPS |
|
|
Image Classification (HP)
|
100% |
163
30.4 IPS |
|
|
Image Classification (Q)
|
99% |
4490
837.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
3434
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11564
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4683
5.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
38034
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
2877
228.2 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
88% |
2665
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
5546
65.9 IPS |
|
|
Face Detection (HP)
|
100% |
358
4.25 IPS |
|
|
Face Detection (Q)
|
97% |
5676
67.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11578
89.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1048
8.07 IPS |
|
|
Depth Estimation (Q)
|
76% |
12460
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26807
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11620
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31132
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4341
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2169
80.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5922
219.3 IPS |
|
|
Text Classification (SP)
|
100% |
1977
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
629
843.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2300
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2871
64.0 IPS |
