ASUS System Product Name
Geekbench AI Score
2649
Single Precision Score
3768
Half Precision Score
6013
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cadillacthewolf |
| Upload Date | May 15 2025 04:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1618
301.0 IPS |
|
|
Image Classification (HP)
|
100% |
2741
509.7 IPS |
|
|
Image Classification (Q)
|
99% |
4166
777.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3952
64.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4731
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4281
4.99 IPS |
|
|
Pose Estimation (HP)
|
99% |
3107
3.62 IPS |
|
|
Pose Estimation (Q)
|
97% |
12954
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
98% |
2385
189.8 IPS |
|
|
Object Detection (Q)
|
90% |
4210
336.6 IPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
7891
93.8 IPS |
|
|
Face Detection (Q)
|
100% |
10205
121.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5068
39.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7764
60.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11409
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11023
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15925
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29449
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1993
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3206
118.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6633
245.6 IPS |
|
|
Text Classification (SP)
|
71% |
1195
1.73 KIPS |
|
|
Text Classification (HP)
|
71% |
1271
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
1441
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1132
19.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1808
31.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1756
30.2 IPS |
