ASUS System Product Name
Geekbench AI Score
7516
Single Precision Score
2557
Half Precision Score
11281
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | June 19 2025 10:05 PM |
| Views | 8 |
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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5559
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
780
145.1 IPS |
|
|
Image Classification (Q)
|
99% |
10362
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1637
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5380
87.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16367
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8453
9.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
53585
62.8 IPS |
|
|
Object Detection (SP)
|
100% |
5491
435.5 IPS |
|
|
Object Detection (HP)
|
100% |
1168
92.7 IPS |
|
|
Object Detection (Q)
|
86% |
12711
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
15804
187.8 IPS |
|
|
Face Detection (HP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
14656
174.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17103
131.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3656
28.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
27381
218.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37496
48.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20593
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33995
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5610
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3889
143.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6923
256.4 IPS |
|
|
Text Classification (SP)
|
100% |
2056
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1078
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1799
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3238
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5175
104.0 IPS |
