ASUS System Product Name
Geekbench AI Score
10275
Single Precision Score
11029
Half Precision Score
17996
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 11 2025 02:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 APEX |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6416
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
7497
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11111
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8964
145.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5183
84.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13710
222.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15915
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16220
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34544
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
6512
516.5 IPS |
|
|
Object Detection (HP)
|
100% |
8026
636.6 IPS |
|
|
Object Detection (Q)
|
88% |
12208
978.7 IPS |
|
|
Face Detection (SP)
|
100% |
17891
212.6 IPS |
|
|
Face Detection (HP)
|
100% |
21936
260.6 IPS |
|
|
Face Detection (Q)
|
100% |
32555
386.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15968
123.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19136
147.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
34034
264.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42311
54.4 IPS |
|
|
Style Transfer (HP)
|
100% |
46240
59.4 IPS |
|
|
Style Transfer (Q)
|
98% |
96589
124.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9554
352.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9924
366.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18532
686.3 IPS |
|
|
Text Classification (SP)
|
100% |
4389
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (Q)
|
92% |
6355
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4344
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7971
137.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4402
75.8 IPS |
