Gigabyte Technology Co., Ltd. Z170X-UD5
Geekbench AI Score
1776
Single Precision Score
856
Half Precision Score
2438
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 08:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z170X-UD5 |
| Motherboard | Gigabyte Technology Co., Ltd. Z170X-UD5-CF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7400 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1282
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (Q)
|
96% |
1797
335.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
2139
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2742
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2228
2.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
4559
5.39 IPS |
|
|
Object Detection (SP)
|
100% |
1270
100.8 IPS |
|
|
Object Detection (HP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (Q)
|
58% |
1325
144.7 IPS |
|
|
Face Detection (SP)
|
100% |
2580
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
885
10.5 IPS |
|
|
Face Detection (Q)
|
96% |
3635
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3301
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1151
8.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
4364
34.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6478
8.33 IPS |
|
|
Style Transfer (HP)
|
100% |
4945
6.36 IPS |
|
|
Style Transfer (Q)
|
87% |
8150
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1077
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1986
73.6 IPS |
|
|
Text Classification (SP)
|
100% |
963
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
538
718.4 IPS |
|
|
Text Classification (Q)
|
97% |
830
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
522
9.00 IPS |
|
|
Machine Translation (Q)
|
68% |
1503
29.0 IPS |
