ASUS System Product Name
Geekbench AI Score
5290
Single Precision Score
5348
Half Precision Score
12486
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cadillacthewolf |
| Upload Date | May 15 2025 04:40 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 for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS WIFI |
| Power Plan | Ultimate 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 | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3272
608.4 IPS |
|
|
Image Classification (HP)
|
100% |
3787
704.3 IPS |
|
|
Image Classification (Q)
|
100% |
7854
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4309
69.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4416
71.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8478
137.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5411
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5518
6.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
20801
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
2994
237.5 IPS |
|
|
Object Detection (HP)
|
100% |
2920
231.6 IPS |
|
|
Object Detection (Q)
|
88% |
8416
674.7 IPS |
|
|
Face Detection (SP)
|
100% |
8615
102.4 IPS |
|
|
Face Detection (HP)
|
100% |
8776
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
17914
212.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7932
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7882
60.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
22184
172.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17872
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17221
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
59783
77.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3769
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3859
142.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13489
499.5 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
3400
4.54 KIPS |
|
|
Text Classification (Q)
|
92% |
5105
6.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4747
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4831
83.2 IPS |
