Gigabyte Technology Co., Ltd. Z170X-UD5
Geekbench AI Score
2715
Single Precision Score
2720
Half Precision Score
3956
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RG22032 |
| Upload Date | March 29 2025 08:13 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z170X-UD5 |
| Motherboard | Gigabyte Technology Co., Ltd. Z170X-UD5-CF |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (HP)
|
100% |
1614
300.2 IPS |
|
|
Image Classification (Q)
|
100% |
2523
469.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2768
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3308
3.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
5999
7.04 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
1612
127.9 IPS |
|
|
Object Detection (Q)
|
87% |
2519
202.1 IPS |
|
|
Face Detection (SP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (Q)
|
97% |
6435
76.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4260
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4309
33.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
6641
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9537
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9470
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17143
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1928
71.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1898
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3568
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
1940
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1957
2.61 KIPS |
|
|
Text Classification (Q)
|
91% |
1172
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2963
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3023
52.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2910
50.1 IPS |
