ASUS System Product Name
Geekbench AI Score
38815
Single Precision Score
54158
Half Precision Score
29174
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | O-EtaIXVII |
| Upload Date | December 22 2024 07:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14726
2.74 KIPS |
|
|
Image Classification (HP)
|
99% |
20035
3.74 KIPS |
|
|
Image Classification (Q)
|
100% |
12543
2.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24172
391.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
30105
488.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21810
354.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
319940
373.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
543788
634.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
274080
321.1 IPS |
|
|
Object Detection (SP)
|
100% |
19149
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
25078
1.99 KIPS |
|
|
Object Detection (Q)
|
86% |
15986
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
52352
622.1 IPS |
|
|
Face Detection (HP)
|
100% |
68801
817.5 IPS |
|
|
Face Detection (Q)
|
97% |
44570
531.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
95099
732.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
165083
1.27 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70106
560.7 IPS |
|
|
Style Transfer (SP)
|
100% |
569593
732.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1095756
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
481024
620.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61279
2.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82186
3.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44463
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3857
5.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4869
6.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2213
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5312
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5300
91.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2520
47.3 IPS |
