ASUS System Product Name
Geekbench AI Score
9722
Single Precision Score
10485
Half Precision Score
17115
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | alexb |
| Upload Date | July 03 2025 05:30 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 STRIX Z890-I 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6233
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
7282
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
11182
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8648
140.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4901
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13826
224.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14700
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14144
16.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32561
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
5968
473.4 IPS |
|
|
Object Detection (HP)
|
100% |
7949
630.5 IPS |
|
|
Object Detection (Q)
|
88% |
12026
964.0 IPS |
|
|
Face Detection (SP)
|
100% |
16755
199.1 IPS |
|
|
Face Detection (HP)
|
100% |
21319
253.3 IPS |
|
|
Face Detection (Q)
|
100% |
31774
377.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14907
114.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18345
141.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
32225
250.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43041
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41336
53.1 IPS |
|
|
Style Transfer (Q)
|
98% |
91955
118.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8783
324.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9349
345.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18028
667.7 IPS |
|
|
Text Classification (SP)
|
100% |
4375
5.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (Q)
|
92% |
6308
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3863
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7762
133.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3328
57.3 IPS |
