Gigabyte Technology Co., Ltd. Z590 AORUS ULTRA
Geekbench AI Score
25439
Single Precision Score
37320
Half Precision Score
15210
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Vlafi |
| Upload Date | June 15 2025 08:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 AORUS ULTRA |
| Power Plan | Vysok vkon |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9715
1.81 KIPS |
|
|
Image Classification (HP)
|
99% |
13098
2.44 KIPS |
|
|
Image Classification (Q)
|
100% |
5754
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17681
286.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25233
409.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12624
205.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
186044
217.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
366267
427.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
136923
160.4 IPS |
|
|
Object Detection (SP)
|
100% |
12392
982.9 IPS |
|
|
Object Detection (HP)
|
100% |
18135
1.44 KIPS |
|
|
Object Detection (Q)
|
85% |
8326
669.8 IPS |
|
|
Face Detection (SP)
|
100% |
35020
416.1 IPS |
|
|
Face Detection (HP)
|
100% |
48585
577.3 IPS |
|
|
Face Detection (Q)
|
97% |
23170
276.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
64996
500.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101415
781.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
37457
300.0 IPS |
|
|
Style Transfer (SP)
|
100% |
279135
358.8 IPS |
|
|
Style Transfer (HP)
|
100% |
643030
826.6 IPS |
|
|
Style Transfer (Q)
|
98% |
198111
255.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39768
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54152
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21255
787.0 IPS |
|
|
Text Classification (SP)
|
100% |
2658
3.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3273
4.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1401
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4268
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4252
73.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1563
29.3 IPS |
