Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4
Geekbench AI Score
14420
Single Precision Score
22084
Half Precision Score
24132
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 04:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO DDR4 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6088
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
8660
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
9352
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14905
241.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18474
299.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20454
331.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
73824
86.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
210101
245.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
326567
382.3 IPS |
|
|
Object Detection (SP)
|
100% |
5601
444.3 IPS |
|
|
Object Detection (HP)
|
100% |
10542
836.2 IPS |
|
|
Object Detection (Q)
|
88% |
11137
892.5 IPS |
|
|
Face Detection (SP)
|
100% |
27125
322.3 IPS |
|
|
Face Detection (HP)
|
100% |
33470
397.7 IPS |
|
|
Face Detection (Q)
|
100% |
39594
470.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26702
205.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
56836
437.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
60187
467.9 IPS |
|
|
Style Transfer (SP)
|
100% |
195483
251.3 IPS |
|
|
Style Transfer (HP)
|
100% |
308815
397.0 IPS |
|
|
Style Transfer (Q)
|
98% |
373959
482.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19217
709.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27854
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28087
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2053
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1786
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1424
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1856
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2665
45.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2702
46.5 IPS |
