Gigabyte Technology Co., Ltd. Z690 UD
Geekbench AI Score
31572
Single Precision Score
35783
Half Precision Score
25730
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 10:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 UD |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 UD |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14795
2.75 KIPS |
|
|
Image Classification (HP)
|
100% |
14859
2.76 KIPS |
|
|
Image Classification (Q)
|
99% |
12736
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17054
276.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15246
247.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15588
253.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
254274
296.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
375748
438.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
226404
265.2 IPS |
|
|
Object Detection (SP)
|
100% |
15578
1.24 KIPS |
|
|
Object Detection (HP)
|
99% |
16850
1.34 KIPS |
|
|
Object Detection (Q)
|
87% |
13726
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
42609
506.3 IPS |
|
|
Face Detection (HP)
|
100% |
45841
544.7 IPS |
|
|
Face Detection (Q)
|
97% |
37326
445.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
74351
572.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
91022
701.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
64756
518.9 IPS |
|
|
Style Transfer (SP)
|
100% |
415893
534.6 IPS |
|
|
Style Transfer (HP)
|
100% |
590731
759.4 IPS |
|
|
Style Transfer (Q)
|
98% |
365809
471.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45991
1.70 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57141
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37433
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4162
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4272
5.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2662
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3989
68.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2340
43.9 IPS |
