Gigabyte Technology Co., Ltd. Z170N-Gaming 5
Geekbench AI Score
2116
Single Precision Score
1070
Half Precision Score
2558
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | September 10 2025 03:47 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% |
1635
304.0 IPS |
|
|
Image Classification (HP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.54 IPS |
|
|
Image Segmentation (Q)
|
97% |
1822
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3312
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2670
3.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
5486
6.48 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
100% |
520
41.2 IPS |
|
|
Object Detection (Q)
|
58% |
1480
161.7 IPS |
|
|
Face Detection (SP)
|
100% |
2759
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
1070
12.7 IPS |
|
|
Face Detection (Q)
|
96% |
4229
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3988
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1531
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
5501
43.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7668
9.86 IPS |
|
|
Style Transfer (HP)
|
100% |
6139
7.89 IPS |
|
|
Style Transfer (Q)
|
87% |
9628
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1475
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2500
92.6 IPS |
|
|
Text Classification (SP)
|
100% |
1330
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
715
953.9 IPS |
|
|
Text Classification (Q)
|
97% |
403
540.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1591
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
1646
31.8 IPS |
