ASUS System Product Name
Geekbench AI Score
5311
Single Precision Score
5404
Half Precision Score
12618
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cadillacthewolf |
| Upload Date | June 12 2025 02:40 AM |
| Views | 12 |
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% |
3325
618.4 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.3 IPS |
|
|
Image Classification (Q)
|
100% |
7846
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4378
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4215
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8344
135.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5322
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
5679
6.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
19645
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
2940
233.2 IPS |
|
|
Object Detection (HP)
|
100% |
2939
233.1 IPS |
|
|
Object Detection (Q)
|
88% |
8670
695.0 IPS |
|
|
Face Detection (SP)
|
100% |
9653
114.7 IPS |
|
|
Face Detection (HP)
|
100% |
9936
118.1 IPS |
|
|
Face Detection (Q)
|
100% |
18980
225.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7813
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7743
59.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
21488
167.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16873
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17786
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
65317
84.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3809
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3876
143.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14191
525.6 IPS |
|
|
Text Classification (SP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (Q)
|
92% |
5079
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4832
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4779
82.3 IPS |
