ASUS System Product Name
Geekbench AI Score
6335
Single Precision Score
9841
Half Precision Score
14572
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SkatterBencher |
| Upload Date | April 14 2025 04:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
4306
800.7 IPS |
|
|
Image Classification (HP)
|
100% |
6621
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
8701
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4913
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10069
163.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
13581
220.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12285
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11508
13.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
37165
43.5 IPS |
|
|
Object Detection (SP)
|
100% |
3971
315.0 IPS |
|
|
Object Detection (HP)
|
100% |
6383
506.3 IPS |
|
|
Object Detection (Q)
|
88% |
10124
811.3 IPS |
|
|
Face Detection (SP)
|
100% |
9902
117.7 IPS |
|
|
Face Detection (HP)
|
100% |
18324
217.7 IPS |
|
|
Face Detection (Q)
|
100% |
26648
316.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13562
104.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
23733
183.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26619
206.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30899
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
42859
55.1 IPS |
|
|
Style Transfer (Q)
|
98% |
85454
110.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5448
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9783
361.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15587
577.3 IPS |
|
|
Text Classification (SP)
|
71% |
1816
2.63 KIPS |
|
|
Text Classification (HP)
|
71% |
2727
3.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2902
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
96% |
3501
60.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3543
61.0 IPS |
