ASUS System Product Name
Geekbench AI Score
7355
Single Precision Score
2499
Half Precision Score
11056
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 12:24 AM |
| Views | 4 |
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 | 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5423
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
679
126.3 IPS |
|
|
Image Classification (Q)
|
99% |
9590
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2839
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4584
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15775
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8240
9.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
51644
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
5319
421.9 IPS |
|
|
Object Detection (HP)
|
100% |
1129
89.6 IPS |
|
|
Object Detection (Q)
|
86% |
12909
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
15370
182.6 IPS |
|
|
Face Detection (HP)
|
100% |
2658
31.6 IPS |
|
|
Face Detection (Q)
|
97% |
14484
172.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17498
134.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3616
27.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
26531
211.7 IPS |
|
|
Style Transfer (SP)
|
100% |
34410
44.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20704
26.6 IPS |
|
|
Style Transfer (Q)
|
98% |
35713
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5588
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3445
127.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7421
274.8 IPS |
|
|
Text Classification (SP)
|
100% |
2089
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1797
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3324
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5089
102.3 IPS |
