Gigabyte Technology Co., Ltd. Z170N-Gaming 5
Geekbench AI Score
2000
Single Precision Score
1052
Half Precision Score
2532
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | September 10 2025 02:16 AM |
| Views | 6 |
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% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (Q)
|
96% |
2107
393.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
1888
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3411
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2756
3.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
5712
6.75 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.5 IPS |
|
|
Object Detection (HP)
|
100% |
505
40.0 IPS |
|
|
Object Detection (Q)
|
58% |
1445
157.9 IPS |
|
|
Face Detection (SP)
|
100% |
2588
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
1014
12.0 IPS |
|
|
Face Detection (Q)
|
96% |
4297
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3963
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1496
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
5428
43.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7861
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6069
7.80 IPS |
|
|
Style Transfer (Q)
|
87% |
9754
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1481
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2530
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
708
945.3 IPS |
|
|
Text Classification (Q)
|
97% |
416
557.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
1380
26.7 IPS |
