ASUS System Product Name
Geekbench AI Score
5727
Single Precision Score
2219
Half Precision Score
9492
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 02 2025 07:24 AM |
| Views | 3 |
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. PRIME Z890M-PLUS WIFI |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3355
624.0 IPS |
|
|
Image Classification (HP)
|
100% |
745
138.5 IPS |
|
|
Image Classification (Q)
|
99% |
9989
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1539
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4546
73.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11015
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6801
7.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
33126
38.8 IPS |
|
|
Object Detection (SP)
|
100% |
4123
327.0 IPS |
|
|
Object Detection (HP)
|
100% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
86% |
11435
919.0 IPS |
|
|
Face Detection (SP)
|
100% |
11622
138.1 IPS |
|
|
Face Detection (HP)
|
100% |
2329
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
13616
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10786
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3092
23.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16751
133.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28162
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18258
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26623
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5056
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2711
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6700
248.1 IPS |
|
|
Text Classification (SP)
|
100% |
1984
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1669
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2950
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5087
102.2 IPS |
