ASUS System Product Name
Geekbench AI Score
7226
Single Precision Score
2464
Half Precision Score
10890
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 11:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 | GameTurbo (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% |
5442
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
831
154.5 IPS |
|
|
Image Classification (Q)
|
99% |
10339
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3075
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4546
73.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14475
16.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7883
9.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
49334
57.8 IPS |
|
|
Object Detection (SP)
|
100% |
5028
398.8 IPS |
|
|
Object Detection (HP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (Q)
|
86% |
12363
993.6 IPS |
|
|
Face Detection (SP)
|
100% |
15021
178.5 IPS |
|
|
Face Detection (HP)
|
100% |
2672
31.7 IPS |
|
|
Face Detection (Q)
|
97% |
14368
171.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17830
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3580
27.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
24101
192.3 IPS |
|
|
Style Transfer (SP)
|
100% |
34575
44.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20615
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34896
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5567
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3450
127.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7152
264.8 IPS |
|
|
Text Classification (SP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1006
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1882
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5035
101.2 IPS |
