Gigabyte Technology Co., Ltd. Z170N-Gaming 5
Geekbench AI Score
2103
Single Precision Score
1068
Half Precision Score
2552
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | September 10 2025 03:28 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% |
1617
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.9 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
867
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
1822
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3294
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2659
3.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
5558
6.57 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
100% |
514
40.7 IPS |
|
|
Object Detection (Q)
|
58% |
1478
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (Q)
|
96% |
4227
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3670
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1511
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
5431
43.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7709
9.91 IPS |
|
|
Style Transfer (HP)
|
100% |
6125
7.87 IPS |
|
|
Style Transfer (Q)
|
87% |
9404
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1301
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2499
92.6 IPS |
|
|
Text Classification (SP)
|
100% |
1313
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
711
949.2 IPS |
|
|
Text Classification (Q)
|
97% |
403
539.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1594
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
620
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
1631
31.5 IPS |
