Gigabyte Technology Co., Ltd. Z170N-Gaming 5
Geekbench AI Score
3034
Single Precision Score
2933
Half Precision Score
2143
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | September 10 2025 05:45 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% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
1231
228.9 IPS |
|
|
Image Classification (Q)
|
99% |
1028
191.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1450
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10225
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9583
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
8957
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
100% |
1530
121.3 IPS |
|
|
Object Detection (Q)
|
83% |
1251
101.0 IPS |
|
|
Face Detection (SP)
|
100% |
2790
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (Q)
|
97% |
2258
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5547
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5282
40.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
4312
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17328
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17200
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14958
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4201
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3915
144.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2856
105.8 IPS |
|
|
Text Classification (SP)
|
100% |
911
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
471
631.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (HP)
|
96% |
1600
27.7 IPS |
|
|
Machine Translation (Q)
|
70% |
625
11.7 IPS |
