Gigabyte Technology Co., Ltd. Z690M AORUS ELITE DDR4
Geekbench AI Score
2441
Single Precision Score
3518
Half Precision Score
5592
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | carefree_boy |
| Upload Date | November 26 2024 04:11 PM |
| 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% |
1616
300.5 IPS |
|
|
Image Classification (HP)
|
100% |
2746
510.6 IPS |
|
|
Image Classification (Q)
|
99% |
4030
751.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3887
63.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5313
86.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4298
5.02 IPS |
|
|
Pose Estimation (HP)
|
99% |
3210
3.75 IPS |
|
|
Pose Estimation (Q)
|
97% |
13326
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.4 IPS |
|
|
Object Detection (HP)
|
98% |
2379
189.3 IPS |
|
|
Object Detection (Q)
|
90% |
4505
360.2 IPS |
|
|
Face Detection (SP)
|
100% |
4975
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
7871
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
11265
133.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4909
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8568
66.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11981
93.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11400
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19661
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29875
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3354
123.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6798
251.8 IPS |
|
|
Text Classification (SP)
|
71% |
704
1.02 KIPS |
|
|
Text Classification (HP)
|
71% |
739
1.07 KIPS |
|
|
Text Classification (Q)
|
92% |
781
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1085
18.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1087
18.7 IPS |
