ASUS System Product Name
Geekbench AI Score
7622
Single Precision Score
2668
Half Precision Score
11308
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 14 2025 12:35 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. ProArt Z890-CREATOR WIFI |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5713
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
888
165.2 IPS |
|
|
Image Classification (Q)
|
99% |
11004
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2968
48.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1650
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4825
78.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16606
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8701
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
53555
62.8 IPS |
|
|
Object Detection (SP)
|
100% |
5547
440.0 IPS |
|
|
Object Detection (HP)
|
100% |
1171
92.9 IPS |
|
|
Object Detection (Q)
|
86% |
13145
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
15489
184.0 IPS |
|
|
Face Detection (HP)
|
100% |
2710
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
14986
178.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17656
136.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3702
28.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
26446
211.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36518
46.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22480
28.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31921
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6036
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3901
144.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7358
272.4 IPS |
|
|
Text Classification (SP)
|
100% |
2094
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1880
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3358
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5227
105.0 IPS |
