ASUS System Product Name
Geekbench AI Score
5620
Single Precision Score
1890
Half Precision Score
6625
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 08:00 PM |
| Views | 1 |
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 APEX ENCORE |
| Power Plan | Ausbalanciert |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3187
592.7 IPS |
|
|
Image Classification (HP)
|
100% |
618
114.9 IPS |
|
|
Image Classification (Q)
|
99% |
5026
937.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2750
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4322
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12292
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5204
6.07 IPS |
|
|
Pose Estimation (Q)
|
95% |
40775
47.8 IPS |
|
|
Object Detection (SP)
|
100% |
3694
293.0 IPS |
|
|
Object Detection (HP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (Q)
|
88% |
3023
242.3 IPS |
|
|
Face Detection (SP)
|
100% |
6531
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
2222
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
7077
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12821
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2352
18.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
14221
113.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29315
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13123
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
37105
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4891
180.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2601
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6773
250.8 IPS |
|
|
Text Classification (SP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
730
978.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2964
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
60% |
3298
73.6 IPS |
