Gigabyte Technology Co., Ltd. Z390 AORUS MASTER
Geekbench AI Score
4577
Single Precision Score
4546
Half Precision Score
6635
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | leibovitz |
| Upload Date | September 06 2025 07:44 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9700K CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z390 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z390 AORUS MASTER-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3000
557.9 IPS |
|
|
Image Classification (HP)
|
100% |
2946
547.8 IPS |
|
|
Image Classification (Q)
|
100% |
4776
888.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3046
49.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3045
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5334
86.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6323
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
6326
7.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
11981
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
2888
229.1 IPS |
|
|
Object Detection (HP)
|
100% |
2857
226.6 IPS |
|
|
Object Detection (Q)
|
87% |
4768
382.4 IPS |
|
|
Face Detection (SP)
|
100% |
4738
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
4810
57.2 IPS |
|
|
Face Detection (Q)
|
97% |
12584
150.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7311
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7333
56.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
11889
93.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17867
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17309
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36090
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7144
264.6 IPS |
|
|
Text Classification (SP)
|
100% |
3044
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (Q)
|
91% |
848
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3497
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3481
60.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3475
59.9 IPS |
