ASUS System Product Name
Geekbench AI Score
32708
Single Precision Score
43580
Half Precision Score
25620
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | December 08 2024 07:54 PM |
| Views | 3 |
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 Z890 HERO |
| Power Plan | Balanced |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12741
2.37 KIPS |
|
|
Image Classification (HP)
|
99% |
16156
3.01 KIPS |
|
|
Image Classification (Q)
|
100% |
10580
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18784
304.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21503
348.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16842
273.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
297113
346.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
471408
550.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
254229
297.9 IPS |
|
|
Object Detection (SP)
|
100% |
15530
1.23 KIPS |
|
|
Object Detection (HP)
|
100% |
19535
1.55 KIPS |
|
|
Object Detection (Q)
|
86% |
13810
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
41999
499.0 IPS |
|
|
Face Detection (HP)
|
100% |
54587
648.6 IPS |
|
|
Face Detection (Q)
|
97% |
39422
470.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
84897
654.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
140181
1.08 KIPS |
|
|
Depth Estimation (Q)
|
77% |
66100
528.7 IPS |
|
|
Style Transfer (SP)
|
100% |
502697
646.2 IPS |
|
|
Style Transfer (HP)
|
100% |
905112
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
425213
548.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51595
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68630
2.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39329
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
3946
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2053
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4248
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4118
70.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2177
40.8 IPS |
