Gigabyte Technology Co., Ltd. Z790M AORUS ELITE
Geekbench AI Score
5794
Single Precision Score
1648
Half Precision Score
9210
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | July 25 2025 11:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. Z790M AORUS ELITE |
| Power Plan | AMD Ryzen Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4817
895.7 IPS |
|
|
Image Classification (HP)
|
100% |
576
107.1 IPS |
|
|
Image Classification (Q)
|
99% |
8000
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4570
74.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11162
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4882
5.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
36549
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
4479
355.3 IPS |
|
|
Object Detection (HP)
|
100% |
757
60.1 IPS |
|
|
Object Detection (Q)
|
86% |
8560
688.0 IPS |
|
|
Face Detection (SP)
|
100% |
12582
149.5 IPS |
|
|
Face Detection (HP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
13017
155.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13204
101.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2119
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18525
147.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25369
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12129
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30178
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4125
152.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2351
86.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6183
228.9 IPS |
|
|
Text Classification (SP)
|
100% |
1866
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1899
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4496
90.3 IPS |
