Gigabyte Technology Co., Ltd. Z790 AORUS MASTER
Geekbench AI Score
5872
Single Precision Score
1732
Half Precision Score
9007
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | January 20 2025 03:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| 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 | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4613
858.0 IPS |
|
|
Image Classification (HP)
|
100% |
607
112.8 IPS |
|
|
Image Classification (Q)
|
99% |
7500
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4468
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12021
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5072
5.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
37691
44.2 IPS |
|
|
Object Detection (SP)
|
100% |
4555
361.3 IPS |
|
|
Object Detection (HP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (Q)
|
86% |
8147
654.8 IPS |
|
|
Face Detection (SP)
|
100% |
12422
147.6 IPS |
|
|
Face Detection (HP)
|
100% |
1875
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
11913
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13636
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2308
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
21223
169.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26461
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12606
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34353
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4387
162.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2424
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5511
204.0 IPS |
|
|
Text Classification (SP)
|
100% |
1880
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1842
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3876
77.9 IPS |
