ASUS System Product Name
Geekbench AI Score
7229
Single Precision Score
2333
Half Precision Score
3588
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Benster412 |
| Upload Date | June 30 2025 03:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| 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% |
4398
817.8 IPS |
|
|
Image Classification (HP)
|
100% |
1641
305.2 IPS |
|
|
Image Classification (Q)
|
100% |
2322
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5816
94.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
840
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8750
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7348
8.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
15988
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
4066
322.5 IPS |
|
|
Object Detection (HP)
|
100% |
1376
109.1 IPS |
|
|
Object Detection (Q)
|
87% |
2286
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
12831
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
7598
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10984
84.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4635
35.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
8471
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25498
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12648
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22998
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3164
116.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5413
200.5 IPS |
|
|
Text Classification (SP)
|
100% |
4111
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
556
742.0 IPS |
|
|
Text Classification (Q)
|
92% |
553
743.3 IPS |
|
|
Machine Translation (SP)
|
100% |
5502
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1122
19.3 IPS |
