Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4
Geekbench AI Score
4642
Single Precision Score
4563
Half Precision Score
11801
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Mochcin |
| Upload Date | September 05 2024 05:37 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-12700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS ELITE DDR4 |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3450
641.5 IPS |
|
|
Image Classification (HP)
|
100% |
2382
443.1 IPS |
|
|
Image Classification (Q)
|
100% |
7878
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3391
55.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3966
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7040
114.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7398
8.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
7509
8.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
27318
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
1991
157.9 IPS |
|
|
Object Detection (HP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (Q)
|
88% |
4771
382.5 IPS |
|
|
Face Detection (SP)
|
100% |
5189
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
5228
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
20377
242.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8981
69.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8941
68.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
21842
169.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22225
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21818
28.0 IPS |
|
|
Style Transfer (Q)
|
98% |
74885
96.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4476
165.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4450
164.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13501
500.0 IPS |
|
|
Text Classification (SP)
|
100% |
1469
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1504
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
4068
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3965
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4077
70.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3960
68.2 IPS |
