Gigabyte Technology Co., Ltd. Z790 AORUS MASTER
Geekbench AI Score
4608
Single Precision Score
1654
Half Precision Score
7612
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | metaphase |
| Upload Date | March 11 2025 04:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS MASTER |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3696
687.3 IPS |
|
|
Image Classification (HP)
|
100% |
586
109.0 IPS |
|
|
Image Classification (Q)
|
99% |
6424
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1792
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3852
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8366
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4837
5.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
29545
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
3466
274.9 IPS |
|
|
Object Detection (HP)
|
100% |
762
60.5 IPS |
|
|
Object Detection (Q)
|
86% |
6934
557.3 IPS |
|
|
Face Detection (SP)
|
100% |
9116
108.3 IPS |
|
|
Face Detection (HP)
|
100% |
1857
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
10218
121.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10450
80.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2290
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
16573
132.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20112
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11840
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27563
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3374
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2334
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5290
195.9 IPS |
|
|
Text Classification (SP)
|
100% |
1870
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1682
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1863
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3103
62.4 IPS |
