ASUS System Product Name
Geekbench AI Score
10482
Single Precision Score
10491
Half Precision Score
17684
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | jzwVIC |
| Upload Date | March 18 2025 01:34 AM |
| Views | 3 |
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 STRIX Z890-E GAMING WIFI |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6428
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6454
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
11308
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9039
146.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9015
146.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
13389
217.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16141
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16156
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
34511
40.4 IPS |
|
|
Object Detection (SP)
|
100% |
6750
535.4 IPS |
|
|
Object Detection (HP)
|
100% |
6786
538.3 IPS |
|
|
Object Detection (Q)
|
88% |
12385
992.8 IPS |
|
|
Face Detection (SP)
|
100% |
18198
216.2 IPS |
|
|
Face Detection (HP)
|
100% |
18362
218.2 IPS |
|
|
Face Detection (Q)
|
100% |
31040
368.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16218
125.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16290
125.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
32668
254.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44921
57.7 IPS |
|
|
Style Transfer (HP)
|
100% |
44923
57.7 IPS |
|
|
Style Transfer (Q)
|
98% |
95923
123.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9545
352.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9635
355.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18220
674.7 IPS |
|
|
Text Classification (SP)
|
100% |
4589
6.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4477
5.98 KIPS |
|
|
Text Classification (Q)
|
92% |
6029
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4356
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4368
75.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4328
74.6 IPS |
