ASUS System Product Name
Geekbench AI Score
10607
Single Precision Score
11248
Half Precision Score
18263
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 12 2025 06:22 AM |
| Views | 10 |
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% |
6745
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
7669
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
11502
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9189
149.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5234
84.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14232
230.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16154
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16416
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
34541
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
6891
546.6 IPS |
|
|
Object Detection (HP)
|
100% |
8060
639.3 IPS |
|
|
Object Detection (Q)
|
88% |
12761
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
19021
226.0 IPS |
|
|
Face Detection (HP)
|
100% |
22760
270.4 IPS |
|
|
Face Detection (Q)
|
100% |
33014
392.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16747
129.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19943
153.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
35193
273.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44954
57.8 IPS |
|
|
Style Transfer (HP)
|
100% |
46183
59.4 IPS |
|
|
Style Transfer (Q)
|
98% |
97773
126.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9671
357.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10021
370.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18766
695.0 IPS |
|
|
Text Classification (SP)
|
100% |
4389
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (Q)
|
92% |
6304
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4299
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8328
143.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4257
73.3 IPS |
