Big Brother ASUS System Product Name
Geekbench AI Score
7736
Single Precision Score
7756
Half Precision Score
16826
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pdindetroit |
| Upload Date | May 15 2025 09:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4770
887.1 IPS |
|
|
Image Classification (HP)
|
100% |
4777
888.4 IPS |
|
|
Image Classification (Q)
|
100% |
10210
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6222
100.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6224
100.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11546
187.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9009
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9094
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
33846
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
4618
366.3 IPS |
|
|
Object Detection (HP)
|
100% |
4591
364.1 IPS |
|
|
Object Detection (Q)
|
88% |
10997
881.6 IPS |
|
|
Face Detection (SP)
|
100% |
13592
161.5 IPS |
|
|
Face Detection (HP)
|
100% |
13852
164.6 IPS |
|
|
Face Detection (Q)
|
100% |
25504
303.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11813
91.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11726
90.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
29199
227.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27199
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27719
35.6 IPS |
|
|
Style Transfer (Q)
|
98% |
94206
121.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5820
214.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5803
214.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17439
645.8 IPS |
|
|
Text Classification (SP)
|
100% |
4109
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4050
5.41 KIPS |
|
|
Text Classification (Q)
|
92% |
5657
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5956
102.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5999
103.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5990
103.2 IPS |
