Gigabyte Technology Co., Ltd. Z170N-Gaming 5
Geekbench AI Score
2196
Single Precision Score
1112
Half Precision Score
2659
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | September 10 2025 01:50 AM |
| Views | 2 |
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% |
1652
307.3 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.5 IPS |
|
|
Image Classification (Q)
|
96% |
2303
430.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
874
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
1888
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3488
4.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2783
3.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
5830
6.89 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
58% |
1536
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (Q)
|
96% |
4311
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4217
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1575
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
5713
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8037
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6316
8.12 IPS |
|
|
Style Transfer (Q)
|
87% |
9914
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1523
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1358
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2634
97.6 IPS |
|
|
Text Classification (SP)
|
100% |
1394
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
424
567.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
1668
32.2 IPS |
