Gigabyte Technology Co., Ltd. Z590 AORUS ELITE AX
Geekbench AI Score
3177
Single Precision Score
1452
Half Precision Score
7415
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 02:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z590 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z590 AORUS ELITE AX |
| Power Plan | Gaming |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2936
546.1 IPS |
|
|
Image Classification (HP)
|
100% |
543
100.9 IPS |
|
|
Image Classification (Q)
|
99% |
7166
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8606
139.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5277
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
4386
5.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
19928
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (Q)
|
86% |
6728
540.7 IPS |
|
|
Face Detection (SP)
|
100% |
3345
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
8824
105.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6643
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2000
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
14386
114.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11362
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10238
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18134
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1816
67.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6230
230.7 IPS |
|
|
Text Classification (SP)
|
100% |
1753
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1579
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1860
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2686
54.0 IPS |
