Gigabyte Technology Co., Ltd. Z790 AORUS PRO X
Geekbench AI Score
5020
Single Precision Score
1708
Half Precision Score
6772
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | January 27 2025 04:13 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS PRO X |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2876
534.8 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.1 IPS |
|
|
Image Classification (Q)
|
99% |
4709
878.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4572
74.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11844
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
4994
5.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
38302
44.9 IPS |
|
|
Object Detection (SP)
|
100% |
3100
245.9 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
88% |
2677
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
6283
74.7 IPS |
|
|
Face Detection (HP)
|
100% |
1930
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
6456
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11612
89.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2277
17.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12821
102.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27288
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12495
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32510
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4433
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2335
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6060
224.4 IPS |
|
|
Text Classification (SP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
798
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1731
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2319
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3257
72.7 IPS |
