Gigabyte Technology Co., Ltd. Z170X-Gaming 7
Geekbench ML Score
530
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 14 2024 10:45 AM |
| Views | 2 |
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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 530 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
291
54.4 IPS |
|
|
Image Classification (F16)
|
100% |
290
54.3 IPS |
|
|
Image Classification (I8)
|
100% |
272
50.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
437
7.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
440
7.34 IPS |
|
|
Image Segmentation (I8)
|
98% |
390
6.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
989
1.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
988
1.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
958
1.16 IPS |
|
|
Object Detection (F32)
|
100% |
331
24.7 IPS |
|
|
Object Detection (F16)
|
100% |
335
25.0 IPS |
|
|
Object Detection (I8)
|
54% |
311
23.3 IPS |
|
|
Face Detection (F32)
|
100% |
671
7.98 IPS |
|
|
Face Detection (F16)
|
100% |
672
7.99 IPS |
|
|
Face Detection (I8)
|
89% |
576
6.85 IPS |
|
|
Depth Estimation (F32)
|
100% |
1038
8.05 IPS |
|
|
Depth Estimation (F16)
|
100% |
1040
8.06 IPS |
|
|
Depth Estimation (I8)
|
95% |
966
7.49 IPS |
|
|
Style Transfer (F32)
|
100% |
2033
2.67 IPS |
|
|
Style Transfer (F16)
|
100% |
2041
2.68 IPS |
|
|
Style Transfer (I8)
|
98% |
1876
2.47 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
591
21.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
598
21.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
515
18.4 IPS |
|
|
Text Classification (F32)
|
100% |
212
304.3 IPS |
|
|
Text Classification (F16)
|
100% |
175
252.1 IPS |
|
|
Text Classification (I8)
|
98% |
184
265.0 IPS |
|
|
Machine Translation (F32)
|
100% |
383
7.04 IPS |
|
|
Machine Translation (F16)
|
100% |
383
7.05 IPS |
|
|
Machine Translation (I8)
|
70% |
260
4.78 IPS |
