ASUS System Product Name
Geekbench AI Score
5891
Single Precision Score
2238
Half Precision Score
9406
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | zsamps |
| Upload Date | December 31 2024 01:49 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 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P WIFI |
| Power Plan | High performance |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3859
717.7 IPS |
|
|
Image Classification (HP)
|
100% |
742
137.9 IPS |
|
|
Image Classification (Q)
|
99% |
8497
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4230
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13155
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
6796
7.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
39879
46.8 IPS |
|
|
Object Detection (SP)
|
100% |
4076
323.3 IPS |
|
|
Object Detection (HP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (Q)
|
86% |
11016
885.3 IPS |
|
|
Face Detection (SP)
|
100% |
11274
134.0 IPS |
|
|
Face Detection (HP)
|
100% |
2474
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
12984
154.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13968
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2998
23.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
22793
181.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27845
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18676
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31933
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5416
200.5 IPS |
|
|
Text Classification (SP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1841
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2592
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3646
73.3 IPS |
