Gigabyte Technology Co., Ltd. Z690 AORUS ELITE AX
Geekbench AI Score
27673
Single Precision Score
41810
Half Precision Score
21614
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 17 2025 09:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE AX |
| Power Plan | Hg prestanda |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10773
2.00 KIPS |
|
|
Image Classification (HP)
|
99% |
15298
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
9435
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20452
331.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24937
404.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18229
296.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
166567
194.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
431090
503.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
146034
171.1 IPS |
|
|
Object Detection (SP)
|
100% |
12579
997.8 IPS |
|
|
Object Detection (HP)
|
100% |
19432
1.54 KIPS |
|
|
Object Detection (Q)
|
85% |
11578
932.1 IPS |
|
|
Face Detection (SP)
|
100% |
37172
441.7 IPS |
|
|
Face Detection (HP)
|
100% |
53044
630.3 IPS |
|
|
Face Detection (Q)
|
97% |
33012
393.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
68652
528.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
119127
920.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
54507
435.8 IPS |
|
|
Style Transfer (SP)
|
100% |
291492
374.7 IPS |
|
|
Style Transfer (HP)
|
100% |
683573
878.7 IPS |
|
|
Style Transfer (Q)
|
98% |
254704
328.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45544
1.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56910
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33225
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
3947
5.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1992
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5208
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5265
90.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2523
47.3 IPS |
