ASUS System Product Name
Geekbench AI Score
6405
Single Precision Score
2383
Half Precision Score
10701
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 08:38 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B860M-PLUS |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5443
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
874
162.5 IPS |
|
|
Image Classification (Q)
|
99% |
9069
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15607
253.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13944
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7887
9.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
45196
53.0 IPS |
|
|
Object Detection (SP)
|
100% |
4859
385.4 IPS |
|
|
Object Detection (HP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (Q)
|
86% |
11075
890.1 IPS |
|
|
Face Detection (SP)
|
100% |
13556
161.1 IPS |
|
|
Face Detection (HP)
|
100% |
2525
30.0 IPS |
|
|
Face Detection (Q)
|
97% |
12648
150.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14782
113.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2904
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
22469
179.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29867
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19337
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27632
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4616
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2979
110.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6020
222.9 IPS |
|
|
Text Classification (SP)
|
100% |
1878
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
997
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1539
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2899
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3822
76.8 IPS |
