Gigabyte Technology Co., Ltd. Z390 AORUS MASTER
Geekbench AI Score
21085
Single Precision Score
29994
Half Precision Score
13461
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tanousjm |
| Upload Date | April 22 2025 07:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 AORUS MASTER-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6908
1.28 KIPS |
|
|
Image Classification (HP)
|
99% |
10351
1.93 KIPS |
|
|
Image Classification (Q)
|
100% |
5284
982.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
13063
211.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16803
272.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9912
161.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
175041
204.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
332230
387.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
126137
147.8 IPS |
|
|
Object Detection (SP)
|
100% |
10288
816.0 IPS |
|
|
Object Detection (HP)
|
100% |
13765
1.09 KIPS |
|
|
Object Detection (Q)
|
85% |
7067
568.5 IPS |
|
|
Face Detection (SP)
|
100% |
28121
334.1 IPS |
|
|
Face Detection (HP)
|
100% |
36072
428.6 IPS |
|
|
Face Detection (Q)
|
97% |
19718
235.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
60066
462.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
92788
714.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
36383
291.4 IPS |
|
|
Style Transfer (SP)
|
100% |
263085
338.2 IPS |
|
|
Style Transfer (HP)
|
100% |
554853
713.3 IPS |
|
|
Style Transfer (Q)
|
98% |
188340
242.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34552
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45559
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20135
745.6 IPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
99% |
2889
3.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1216
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3032
52.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1265
23.7 IPS |
