Gigabyte Technology Co., Ltd. Z170N-Gaming 5
Geekbench AI Score
2127
Single Precision Score
1064
Half Precision Score
2556
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | September 10 2025 01:31 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% |
1595
296.7 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
586
9.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
1817
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3380
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2721
3.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
5560
6.57 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
58% |
1472
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
2711
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
1069
12.7 IPS |
|
|
Face Detection (Q)
|
96% |
4229
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4110
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1530
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
5502
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7781
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6170
7.93 IPS |
|
|
Style Transfer (Q)
|
87% |
9576
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1475
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1296
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2485
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
1339
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
721
962.8 IPS |
|
|
Text Classification (Q)
|
97% |
404
540.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
1628
31.5 IPS |
