Gigabyte Technology Co., Ltd. Z170N-Gaming 5
Geekbench AI Score
3008
Single Precision Score
2922
Half Precision Score
2151
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | September 10 2025 01:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro M4000 |
| 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% |
1189
221.1 IPS |
|
|
Image Classification (HP)
|
100% |
1154
214.7 IPS |
|
|
Image Classification (Q)
|
99% |
973
181.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1392
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10166
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9535
11.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
8967
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.5 IPS |
|
|
Object Detection (HP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (Q)
|
83% |
1189
96.0 IPS |
|
|
Face Detection (SP)
|
100% |
2785
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
2161
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5581
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5325
41.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
4355
34.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17468
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17213
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14958
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4148
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2933
108.6 IPS |
|
|
Text Classification (SP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
512
685.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1719
29.7 IPS |
|
|
Machine Translation (Q)
|
70% |
697
13.1 IPS |
