Gigabyte Technology Co., Ltd. Z370N WIFI
Geekbench AI Score
3878
Single Precision Score
3868
Half Precision Score
5840
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | unixwizard |
| Upload Date | December 17 2024 10:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8700K CPU @ 3.70GHz |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Gigabyte Technology Co., Ltd. Z370N WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. Z370N WIFI-CF |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2474
460.1 IPS |
|
|
Image Classification (HP)
|
100% |
2507
466.2 IPS |
|
|
Image Classification (Q)
|
100% |
3653
679.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3704
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5115
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5103
5.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
9656
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.9 IPS |
|
|
Object Detection (HP)
|
100% |
2369
187.9 IPS |
|
|
Object Detection (Q)
|
87% |
3813
305.8 IPS |
|
|
Face Detection (SP)
|
100% |
3960
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (Q)
|
97% |
9771
116.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6556
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6535
50.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
10378
81.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14692
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14645
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26975
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3032
112.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3033
112.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5696
211.0 IPS |
|
|
Text Classification (SP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2500
3.34 KIPS |
|
|
Text Classification (Q)
|
91% |
1619
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3674
63.3 IPS |
