ASUS System Product Name
Geekbench AI Score
7137
Single Precision Score
2673
Half Precision Score
11932
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 03:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
5081
944.8 IPS |
|
|
Image Classification (HP)
|
100% |
850
158.0 IPS |
|
|
Image Classification (Q)
|
99% |
10332
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3029
49.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16291
264.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14767
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
8696
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
47630
55.8 IPS |
|
|
Object Detection (SP)
|
100% |
5231
414.9 IPS |
|
|
Object Detection (HP)
|
100% |
1196
94.9 IPS |
|
|
Object Detection (Q)
|
86% |
12536
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
15726
186.9 IPS |
|
|
Face Detection (HP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (Q)
|
97% |
13777
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16933
130.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3756
28.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
26754
213.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32057
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21752
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34936
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5293
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3439
127.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5623
208.2 IPS |
|
|
Text Classification (SP)
|
100% |
1968
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1089
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1755
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1524
26.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4581
92.1 IPS |
