Gigabyte Technology Co., Ltd. Z170X-Gaming GT
Geekbench AI Score
1412
Single Precision Score
756
Half Precision Score
1800
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | drobertson123 |
| Upload Date | March 21 2025 05:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z170X-Gaming GT |
| Motherboard | Gigabyte Technology Co., Ltd. Z170X-Gaming GT |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
942
175.1 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
96% |
1581
295.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
592
9.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
918
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2210
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1775
2.07 IPS |
|
|
Pose Estimation (Q)
|
86% |
3780
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
928
73.6 IPS |
|
|
Object Detection (HP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (Q)
|
58% |
1106
120.8 IPS |
|
|
Face Detection (SP)
|
100% |
2116
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
817
9.71 IPS |
|
|
Face Detection (Q)
|
96% |
3260
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2560
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1130
8.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
3804
30.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5277
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
3959
5.09 IPS |
|
|
Style Transfer (Q)
|
87% |
7280
9.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1409
52.2 IPS |
|
|
Text Classification (SP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
472
630.5 IPS |
|
|
Text Classification (Q)
|
97% |
335
448.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
68% |
1388
26.8 IPS |
