Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX
Geekbench AI Score
4504
Single Precision Score
1551
Half Precision Score
5353
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | demonknight9 |
| Upload Date | September 07 2024 04:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| 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% |
2543
473.0 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
99% |
4308
803.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1058
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3609
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11468
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4800
5.60 IPS |
|
|
Pose Estimation (Q)
|
95% |
35601
41.7 IPS |
|
|
Object Detection (SP)
|
100% |
2874
228.0 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (Q)
|
88% |
2266
181.6 IPS |
|
|
Face Detection (SP)
|
100% |
4852
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
5495
65.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10712
82.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2162
16.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
11113
88.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24904
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12047
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29755
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2162
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4978
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
1612
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
611
815.3 IPS |
|
|
Text Classification (Q)
|
97% |
630
843.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2116
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2703
60.3 IPS |
