Gigabyte Z690 AORUS MASTER Gigabyte Technology Co., Ltd. Z690 AORUS MASTER
Geekbench AI Score
30710
Single Precision Score
45149
Half Precision Score
23841
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 19 2025 01:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS MASTER |
| Power Plan | High performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10683
1.99 KIPS |
|
|
Image Classification (HP)
|
99% |
15365
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
9514
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21823
353.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28435
461.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20281
329.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
242778
283.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
474648
553.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
209523
245.5 IPS |
|
|
Object Detection (SP)
|
100% |
15350
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
21253
1.69 KIPS |
|
|
Object Detection (Q)
|
85% |
12456
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
43679
519.0 IPS |
|
|
Face Detection (HP)
|
100% |
57639
684.9 IPS |
|
|
Face Detection (Q)
|
97% |
38241
456.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
69573
536.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
134833
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55328
441.8 IPS |
|
|
Style Transfer (SP)
|
100% |
358234
460.5 IPS |
|
|
Style Transfer (HP)
|
100% |
805553
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
317138
408.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47088
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65669
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36104
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3661
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1895
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5546
95.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5306
91.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2567
48.1 IPS |
