ASUS System Product Name
Geekbench AI Score
36886
Single Precision Score
50145
Half Precision Score
27800
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | mmomega |
| Upload Date | August 22 2024 06:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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% |
13875
2.58 KIPS |
|
|
Image Classification (HP)
|
99% |
18201
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11688
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20809
337.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24860
403.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19136
311.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
318614
371.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
531812
620.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
277336
324.8 IPS |
|
|
Object Detection (SP)
|
100% |
18321
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
23549
1.87 KIPS |
|
|
Object Detection (Q)
|
89% |
15766
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
46745
555.4 IPS |
|
|
Face Detection (HP)
|
100% |
56335
669.4 IPS |
|
|
Face Detection (Q)
|
97% |
39216
467.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
93741
722.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
159911
1.23 KIPS |
|
|
Depth Estimation (Q)
|
75% |
68499
553.0 IPS |
|
|
Style Transfer (SP)
|
100% |
563091
723.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1089540
1.40 KIPS |
|
|
Style Transfer (Q)
|
98% |
488888
630.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61393
2.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81450
3.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44811
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3832
5.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4743
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2290
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4767
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4679
80.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2092
46.7 IPS |
