Gigabyte Technology Co., Ltd. Z170N-Gaming 5
Geekbench AI Score
2962
Single Precision Score
2895
Half Precision Score
2097
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | September 10 2025 05:05 AM |
| Views | 3 |
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% |
1176
218.7 IPS |
|
|
Image Classification (HP)
|
100% |
1170
217.5 IPS |
|
|
Image Classification (Q)
|
99% |
966
180.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1375
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10176
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9538
11.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
8886
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.8 IPS |
|
|
Object Detection (HP)
|
100% |
1452
115.1 IPS |
|
|
Object Detection (Q)
|
83% |
1187
95.9 IPS |
|
|
Face Detection (SP)
|
100% |
2806
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
2157
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5527
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5274
40.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
4303
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17426
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17318
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14943
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4106
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3958
146.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2849
105.5 IPS |
|
|
Text Classification (SP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
897
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
477
638.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1748
30.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1658
28.7 IPS |
|
|
Machine Translation (Q)
|
70% |
624
11.7 IPS |
