ASUS System Product Name
Geekbench AI Score
5161
Single Precision Score
949
Half Precision Score
6104
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | mmomega |
| Upload Date | August 22 2024 06:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2761
513.5 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.4 IPS |
|
|
Image Classification (Q)
|
99% |
4929
919.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2556
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
3895
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12658
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5262
6.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
39726
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
3450
273.6 IPS |
|
|
Object Detection (HP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (Q)
|
88% |
2793
223.9 IPS |
|
|
Face Detection (SP)
|
100% |
5880
69.9 IPS |
|
|
Face Detection (HP)
|
100% |
379
4.50 IPS |
|
|
Face Detection (Q)
|
97% |
5360
63.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11874
91.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1087
8.37 IPS |
|
|
Depth Estimation (Q)
|
76% |
12848
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28574
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13003
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
33349
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4583
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2408
88.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6503
240.8 IPS |
|
|
Text Classification (SP)
|
100% |
2029
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
724
970.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2346
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3120
69.6 IPS |
