ASUS System Product Name
Geekbench AI Score
4446
Single Precision Score
6339
Half Precision Score
2937
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cordyceps |
| Upload Date | April 30 2025 04:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2719
505.7 IPS |
|
|
Image Classification (HP)
|
100% |
3958
736.1 IPS |
|
|
Image Classification (Q)
|
99% |
1884
351.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3100
50.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5465
88.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2071
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8828
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16353
19.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
7719
9.04 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.8 IPS |
|
|
Object Detection (HP)
|
100% |
4311
341.9 IPS |
|
|
Object Detection (Q)
|
86% |
1960
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
5210
61.9 IPS |
|
|
Face Detection (HP)
|
100% |
8657
102.9 IPS |
|
|
Face Detection (Q)
|
97% |
3354
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8969
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15270
118.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
6610
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24713
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39229
50.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18705
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4342
160.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6973
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2980
110.4 IPS |
|
|
Text Classification (SP)
|
100% |
1260
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
741
988.6 IPS |
|
|
Text Classification (Q)
|
97% |
696
932.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2564
44.3 IPS |
|
|
Machine Translation (Q)
|
70% |
943
17.7 IPS |
