Gigabyte Technology Co., Ltd. Z790 AORUS MASTER
Geekbench AI Score
5666
Single Precision Score
1959
Half Precision Score
9069
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | metaphase |
| Upload Date | February 03 2025 10:06 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% |
4564
848.8 IPS |
|
|
Image Classification (HP)
|
100% |
691
128.5 IPS |
|
|
Image Classification (Q)
|
99% |
7521
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4458
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9644
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5463
6.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
32510
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
4244
336.7 IPS |
|
|
Object Detection (HP)
|
100% |
896
71.1 IPS |
|
|
Object Detection (Q)
|
86% |
8017
644.3 IPS |
|
|
Face Detection (SP)
|
100% |
11466
136.2 IPS |
|
|
Face Detection (HP)
|
100% |
2065
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
12187
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12439
95.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2689
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
19556
156.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23464
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13675
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33458
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4248
156.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2611
96.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6226
230.6 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1008
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2128
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4080
82.0 IPS |
