Gigabyte Technology Co., Ltd. Z170X-Gaming 7
Geekbench ML Score
495
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 07 2024 11:31 AM |
| Views | 6 |
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 | DirectML |
| Device | Intel(R) HD Graphics 530 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
283
52.9 IPS |
|
|
Image Classification (F16)
|
100% |
280
52.4 IPS |
|
|
Image Classification (I8)
|
100% |
261
48.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
391
6.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
395
6.61 IPS |
|
|
Image Segmentation (I8)
|
98% |
331
5.53 IPS |
|
|
Pose Estimation (F32)
|
100% |
976
1.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
975
1.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
919
1.11 IPS |
|
|
Object Detection (F32)
|
100% |
320
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
313
23.3 IPS |
|
|
Object Detection (I8)
|
54% |
291
21.7 IPS |
|
|
Face Detection (F32)
|
100% |
567
6.75 IPS |
|
|
Face Detection (F16)
|
100% |
564
6.70 IPS |
|
|
Face Detection (I8)
|
89% |
439
5.22 IPS |
|
|
Depth Estimation (F32)
|
100% |
990
7.68 IPS |
|
|
Depth Estimation (F16)
|
100% |
1018
7.89 IPS |
|
|
Depth Estimation (I8)
|
95% |
891
6.91 IPS |
|
|
Style Transfer (F32)
|
100% |
2012
2.65 IPS |
|
|
Style Transfer (F16)
|
100% |
2014
2.65 IPS |
|
|
Style Transfer (I8)
|
98% |
1781
2.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
581
20.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
591
21.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
488
17.4 IPS |
|
|
Text Classification (F32)
|
100% |
200
287.1 IPS |
|
|
Text Classification (F16)
|
100% |
173
249.2 IPS |
|
|
Text Classification (I8)
|
98% |
177
254.1 IPS |
|
|
Machine Translation (F32)
|
100% |
343
6.32 IPS |
|
|
Machine Translation (F16)
|
100% |
345
6.35 IPS |
|
|
Machine Translation (I8)
|
70% |
237
4.36 IPS |
