Gigabyte Technology Co., Ltd. Z690M AORUS ELITE DDR4
Geekbench AI Score
2445
Single Precision Score
3538
Half Precision Score
5652
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | carefree_boy |
| Upload Date | December 29 2024 11:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690M AORUS ELITE DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690M AORUS ELITE DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1628
302.8 IPS |
|
|
Image Classification (HP)
|
100% |
2736
508.8 IPS |
|
|
Image Classification (Q)
|
99% |
4388
818.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3919
63.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5355
86.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4300
5.02 IPS |
|
|
Pose Estimation (HP)
|
99% |
3212
3.75 IPS |
|
|
Pose Estimation (Q)
|
97% |
13351
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
98% |
2412
192.0 IPS |
|
|
Object Detection (Q)
|
90% |
4403
352.0 IPS |
|
|
Face Detection (SP)
|
100% |
5012
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
7974
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
11356
134.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4947
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8673
67.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
12107
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11258
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19696
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29970
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2032
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3372
124.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6776
250.9 IPS |
|
|
Text Classification (SP)
|
71% |
615
889.8 IPS |
|
|
Text Classification (HP)
|
71% |
738
1.07 KIPS |
|
|
Text Classification (Q)
|
92% |
789
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1094
18.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1095
18.9 IPS |
