ASUS System Product Name
Geekbench AI Score
38748
Single Precision Score
53361
Half Precision Score
28834
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 05 2024 12:49 PM |
| Views | 19 |
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 APEX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores |
| 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% |
12365
2.30 KIPS |
|
|
Image Classification (HP)
|
99% |
19069
3.56 KIPS |
|
|
Image Classification (Q)
|
100% |
12367
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23274
377.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
28253
458.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21451
348.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
329867
384.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
570635
665.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
302715
354.5 IPS |
|
|
Object Detection (SP)
|
100% |
18674
1.48 KIPS |
|
|
Object Detection (HP)
|
100% |
25250
2.00 KIPS |
|
|
Object Detection (Q)
|
89% |
15899
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
51389
610.6 IPS |
|
|
Face Detection (HP)
|
100% |
61255
727.8 IPS |
|
|
Face Detection (Q)
|
97% |
42000
500.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
98206
756.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
168436
1.30 KIPS |
|
|
Depth Estimation (Q)
|
75% |
71976
580.5 IPS |
|
|
Style Transfer (SP)
|
100% |
614284
789.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1137495
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
510782
658.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65975
2.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78120
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47016
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
4102
5.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5112
6.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2303
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5130
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5145
88.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1861
41.5 IPS |
