Gigabyte Technology Co., Ltd. Z170N-Gaming 5
Geekbench AI Score
2439
Single Precision Score
2447
Half Precision Score
3448
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | September 10 2025 01:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-6600K CPU @ 3.50GHz |
| 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% |
1452
269.9 IPS |
|
|
Image Classification (HP)
|
100% |
1456
270.7 IPS |
|
|
Image Classification (Q)
|
100% |
2249
418.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1497
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1486
24.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2481
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3002
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3002
3.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
5524
6.48 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (Q)
|
87% |
2317
185.9 IPS |
|
|
Face Detection (SP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (Q)
|
97% |
5991
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3759
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3782
29.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
6213
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8373
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8381
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15686
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1780
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1791
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3189
118.1 IPS |
|
|
Text Classification (SP)
|
100% |
1765
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1792
2.39 KIPS |
|
|
Text Classification (Q)
|
91% |
715
961.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2566
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2504
43.1 IPS |
