ASUS System Product Name
Geekbench AI Score
42079
Single Precision Score
56672
Half Precision Score
30926
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 06 2024 02:03 AM |
| Views | 2 |
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 STRIX Z790-A GAMING WIFI D4 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15638
2.91 KIPS |
|
|
Image Classification (HP)
|
99% |
20684
3.86 KIPS |
|
|
Image Classification (Q)
|
100% |
12987
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23641
383.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
28473
461.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21643
351.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
369999
431.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
583158
680.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
316802
371.0 IPS |
|
|
Object Detection (SP)
|
100% |
20815
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
26796
2.13 KIPS |
|
|
Object Detection (Q)
|
89% |
16455
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
53434
634.9 IPS |
|
|
Face Detection (HP)
|
100% |
64287
763.9 IPS |
|
|
Face Detection (Q)
|
97% |
44706
533.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
105561
813.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
176896
1.36 KIPS |
|
|
Depth Estimation (Q)
|
75% |
75729
610.8 IPS |
|
|
Style Transfer (SP)
|
100% |
646246
830.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1203042
1.55 KIPS |
|
|
Style Transfer (Q)
|
98% |
544666
702.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
69269
2.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91289
3.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49762
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
4318
5.76 KIPS |
|
|
Text Classification (HP)
|
99% |
5393
7.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2520
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5607
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5514
95.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2362
52.7 IPS |
