Gigabyte Technology Co., Ltd. Z170X-Gaming 7
Geekbench ML Score
1250
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 07 2024 11:35 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z170X-Gaming 7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z170X-Gaming 7 |
| 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 |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
755
141.2 IPS |
|
|
Image Classification (F16)
|
100% |
691
129.3 IPS |
|
|
Image Classification (I8)
|
97% |
1139
213.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
509
8.50 IPS |
|
|
Image Segmentation (F16)
|
100% |
492
8.22 IPS |
|
|
Image Segmentation (I8)
|
97% |
951
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2091
2.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
2367
2.87 IPS |
|
|
Pose Estimation (I8)
|
100% |
4868
5.89 IPS |
|
|
Object Detection (F32)
|
100% |
607
45.3 IPS |
|
|
Object Detection (F16)
|
100% |
639
47.7 IPS |
|
|
Object Detection (I8)
|
60% |
726
54.2 IPS |
|
|
Face Detection (F32)
|
100% |
752
8.94 IPS |
|
|
Face Detection (F16)
|
100% |
752
8.94 IPS |
|
|
Face Detection (I8)
|
87% |
1440
17.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2227
17.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2310
17.9 IPS |
|
|
Depth Estimation (I8)
|
74% |
3958
30.7 IPS |
|
|
Style Transfer (F32)
|
100% |
5411
7.12 IPS |
|
|
Style Transfer (F16)
|
100% |
5678
7.47 IPS |
|
|
Style Transfer (I8)
|
85% |
5154
6.78 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1111
39.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1195
42.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1471
52.5 IPS |
|
|
Text Classification (F32)
|
100% |
860
1.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1033
1.48 KIPS |
|
|
Text Classification (I8)
|
94% |
311
446.7 IPS |
|
|
Machine Translation (F32)
|
100% |
777
14.3 IPS |
|
|
Machine Translation (F16)
|
100% |
797
14.7 IPS |
|
|
Machine Translation (I8)
|
67% |
978
18.0 IPS |
