ASUS System Product Name
Geekbench AI Score
5636
Single Precision Score
5851
Half Precision Score
13583
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cadillacthewolf |
| Upload Date | April 01 2025 02:09 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% |
3610
671.3 IPS |
|
|
Image Classification (HP)
|
100% |
3716
691.1 IPS |
|
|
Image Classification (Q)
|
100% |
8285
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4559
73.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4737
76.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9367
151.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6141
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
6419
7.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
23038
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
3225
255.8 IPS |
|
|
Object Detection (HP)
|
100% |
3234
256.5 IPS |
|
|
Object Detection (Q)
|
88% |
9078
727.7 IPS |
|
|
Face Detection (SP)
|
100% |
9364
111.3 IPS |
|
|
Face Detection (HP)
|
100% |
9976
118.5 IPS |
|
|
Face Detection (Q)
|
100% |
20606
244.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8087
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8483
65.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
23646
183.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18481
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19400
24.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72238
93.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4093
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4323
159.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14424
534.2 IPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (Q)
|
92% |
5094
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5124
88.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5093
87.7 IPS |
