Gigabyte Technology Co., Ltd. Z170X-Ultra Gaming
Geekbench AI Score
1531
Single Precision Score
745
Half Precision Score
2227
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z170X-Ultra Gaming |
| Motherboard | Gigabyte Technology Co., Ltd. Z170X-Ultra Gaming-CF |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1212
225.4 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.2 IPS |
|
|
Image Classification (Q)
|
96% |
1602
299.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
1974
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2148
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1849
2.16 IPS |
|
|
Pose Estimation (Q)
|
86% |
3972
4.70 IPS |
|
|
Object Detection (SP)
|
100% |
1017
80.6 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
58% |
1279
139.7 IPS |
|
|
Face Detection (SP)
|
100% |
2181
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
754
8.96 IPS |
|
|
Face Detection (Q)
|
96% |
3349
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2631
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
992
7.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
3865
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5461
7.02 IPS |
|
|
Style Transfer (HP)
|
100% |
4071
5.23 IPS |
|
|
Style Transfer (Q)
|
87% |
7125
9.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1710
63.3 IPS |
|
|
Text Classification (SP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
492
656.2 IPS |
|
|
Text Classification (Q)
|
97% |
832
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
68% |
1429
27.6 IPS |
