Gigabyte Technology Co., Ltd. Z690 AORUS ELITE AX
Geekbench AI Score
4655
Single Precision Score
1647
Half Precision Score
6528
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 01 2024 11:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE AX |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2530
470.5 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.0 IPS |
|
|
Image Classification (Q)
|
99% |
4924
918.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4613
75.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12141
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5109
5.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
37553
44.0 IPS |
|
|
Object Detection (SP)
|
100% |
2863
227.1 IPS |
|
|
Object Detection (HP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (Q)
|
88% |
2662
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
4587
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
1723
20.5 IPS |
|
|
Face Detection (Q)
|
97% |
5564
66.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10881
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2275
17.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
10967
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26409
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12735
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25820
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4130
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2381
87.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6144
227.5 IPS |
|
|
Text Classification (SP)
|
100% |
1990
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
744
993.2 IPS |
|
|
Text Classification (Q)
|
97% |
1903
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
60% |
3363
75.0 IPS |
