Gigabyte Technology Co., Ltd. Z170N-Gaming 5
Geekbench AI Score
2108
Single Precision Score
1077
Half Precision Score
2556
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | September 10 2025 03:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z170N-Gaming 5 |
| Motherboard | Gigabyte Technology Co., Ltd. Z170N-Gaming 5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1632
303.5 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.7 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
883
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
595
9.64 IPS |
|
|
Image Segmentation (Q)
|
97% |
1812
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3343
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2706
3.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
5490
6.49 IPS |
|
|
Object Detection (SP)
|
100% |
1288
102.1 IPS |
|
|
Object Detection (HP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (Q)
|
58% |
1484
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
2719
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (Q)
|
96% |
4130
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4138
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1535
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
5538
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7765
9.98 IPS |
|
|
Style Transfer (HP)
|
100% |
6127
7.88 IPS |
|
|
Style Transfer (Q)
|
87% |
9638
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1282
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2531
93.8 IPS |
|
|
Text Classification (SP)
|
100% |
1357
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
716
956.1 IPS |
|
|
Text Classification (Q)
|
97% |
402
537.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
1643
31.7 IPS |
