ASUS System Product Name
Geekbench AI Score
7150
Single Precision Score
2529
Half Precision Score
10625
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cordyceps |
| Upload Date | April 30 2025 04:38 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5660
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
842
156.6 IPS |
|
|
Image Classification (Q)
|
99% |
10470
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4550
74.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14694
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8657
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
48212
56.5 IPS |
|
|
Object Detection (SP)
|
100% |
5133
407.2 IPS |
|
|
Object Detection (HP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (Q)
|
86% |
12407
997.1 IPS |
|
|
Face Detection (SP)
|
100% |
13839
164.4 IPS |
|
|
Face Detection (HP)
|
100% |
2599
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
13734
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16773
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3582
27.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
25038
199.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31493
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21029
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27102
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5444
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3288
121.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7043
260.8 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1908
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5140
103.3 IPS |
