Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA
Geekbench AI Score
5181
Single Precision Score
1841
Half Precision Score
8194
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rodrigo_rl |
| Upload Date | April 04 2025 04:19 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ULTRA |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4208
782.5 IPS |
|
|
Image Classification (HP)
|
100% |
650
120.9 IPS |
|
|
Image Classification (Q)
|
99% |
7734
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2225
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1064
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3909
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8869
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
5373
6.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
29215
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
3750
297.5 IPS |
|
|
Object Detection (HP)
|
100% |
819
65.0 IPS |
|
|
Object Detection (Q)
|
86% |
7551
606.9 IPS |
|
|
Face Detection (SP)
|
100% |
9991
118.7 IPS |
|
|
Face Detection (HP)
|
100% |
1926
22.9 IPS |
|
|
Face Detection (Q)
|
97% |
10981
130.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11510
88.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2551
19.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17702
141.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20565
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13867
17.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26160
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3682
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2521
93.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5162
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
2051
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1907
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4090
82.2 IPS |
