ASUS System Product Name
Geekbench AI Score
40272
Single Precision Score
54091
Half Precision Score
29861
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 15 2024 04:09 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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% |
14174
2.64 KIPS |
|
|
Image Classification (HP)
|
99% |
18352
3.42 KIPS |
|
|
Image Classification (Q)
|
100% |
11982
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23870
386.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
28532
462.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21696
352.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
347111
405.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
573576
669.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
298924
350.0 IPS |
|
|
Object Detection (SP)
|
100% |
19372
1.54 KIPS |
|
|
Object Detection (HP)
|
100% |
24705
1.96 KIPS |
|
|
Object Detection (Q)
|
89% |
15506
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
50070
594.9 IPS |
|
|
Face Detection (HP)
|
100% |
60145
714.7 IPS |
|
|
Face Detection (Q)
|
97% |
42160
502.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
97996
755.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
160537
1.24 KIPS |
|
|
Depth Estimation (Q)
|
76% |
71417
574.5 IPS |
|
|
Style Transfer (SP)
|
100% |
626969
806.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1149106
1.48 KIPS |
|
|
Style Transfer (Q)
|
98% |
532971
687.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68275
2.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90732
3.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49452
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5086
6.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2471
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5737
98.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5645
97.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2386
53.2 IPS |
