Gigabyte Technology Co., Ltd. Z790 AORUS ELITE AX
Geekbench AI Score
5422
Single Precision Score
5448
Half Precision Score
13057
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | demonknight9 |
| Upload Date | September 07 2024 04:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
3633
675.5 IPS |
|
|
Image Classification (HP)
|
100% |
3630
675.1 IPS |
|
|
Image Classification (Q)
|
100% |
9153
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4604
74.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4240
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5422
87.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8927
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8699
10.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29061
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
2905
230.4 IPS |
|
|
Object Detection (HP)
|
100% |
2841
225.4 IPS |
|
|
Object Detection (Q)
|
88% |
9337
748.5 IPS |
|
|
Face Detection (SP)
|
100% |
9390
111.6 IPS |
|
|
Face Detection (HP)
|
100% |
10743
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
24675
293.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9732
75.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9765
75.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
25928
201.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26402
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26575
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
88324
113.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4777
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15638
579.1 IPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
4319
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2804
48.3 IPS |
