Gigabyte Technology Co., Ltd. Z170N-Gaming 5
Geekbench AI Score
1979
Single Precision Score
993
Half Precision Score
2330
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | September 10 2025 01:00 AM |
| Views | 4 |
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% |
1492
277.5 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.9 IPS |
|
|
Image Classification (Q)
|
96% |
2009
375.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
830
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
547
8.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
1635
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3062
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
2471
2.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
5044
5.96 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
100% |
486
38.5 IPS |
|
|
Object Detection (Q)
|
58% |
1343
146.7 IPS |
|
|
Face Detection (SP)
|
100% |
2650
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
3812
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3769
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1395
10.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5022
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7104
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
5582
7.18 IPS |
|
|
Style Transfer (Q)
|
87% |
8880
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1346
49.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2265
83.9 IPS |
|
|
Text Classification (SP)
|
100% |
1195
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
648
865.3 IPS |
|
|
Text Classification (Q)
|
97% |
361
483.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1531
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
68% |
1531
29.6 IPS |
