ASUS System Product Name
Geekbench AI Score
36394
Single Precision Score
49185
Half Precision Score
27394
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | molaikull |
| Upload Date | September 04 2024 08:24 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Performances optimales |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13955
2.60 KIPS |
|
|
Image Classification (HP)
|
99% |
18503
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
11610
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19953
323.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23396
379.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18325
298.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
319604
372.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
521930
609.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
276726
324.0 IPS |
|
|
Object Detection (SP)
|
100% |
18231
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
23055
1.83 KIPS |
|
|
Object Detection (Q)
|
89% |
15588
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
44740
531.6 IPS |
|
|
Face Detection (HP)
|
100% |
53297
633.3 IPS |
|
|
Face Detection (Q)
|
97% |
38455
458.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
93031
716.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
158538
1.22 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67807
547.4 IPS |
|
|
Style Transfer (SP)
|
100% |
560426
720.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1049428
1.35 KIPS |
|
|
Style Transfer (Q)
|
98% |
477715
616.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60480
2.23 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80961
2.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44921
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4876
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2282
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
4599
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4544
78.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2031
45.3 IPS |
