ASUS System Product Name
Geekbench AI Score
5945
Single Precision Score
2669
Half Precision Score
9339
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 31 2025 08:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4755
884.2 IPS |
|
|
Image Classification (HP)
|
100% |
934
173.8 IPS |
|
|
Image Classification (Q)
|
99% |
9687
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7442
121.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9102
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7455
8.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
31561
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
4557
361.5 IPS |
|
|
Object Detection (HP)
|
100% |
1196
94.9 IPS |
|
|
Object Detection (Q)
|
86% |
8805
707.7 IPS |
|
|
Face Detection (SP)
|
100% |
13242
157.3 IPS |
|
|
Face Detection (HP)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (Q)
|
97% |
12540
149.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12259
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3783
29.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
22379
178.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21650
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18770
24.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33719
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4212
155.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3587
132.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8020
297.0 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
748
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4439
89.2 IPS |
