Gigabyte Technology Co., Ltd. H97-HD3
Geekbench ML Score
5430
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 08 2024 02:07 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H97-HD3 |
| Motherboard | Gigabyte Technology Co., Ltd. H97-HD3 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 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 | Radeon RX 570 Series |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2288
428.1 IPS |
|
|
Image Classification (F16)
|
100% |
2537
474.8 IPS |
|
|
Image Classification (I8)
|
100% |
2017
377.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2950
49.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2664
44.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2312
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
44040
53.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
43982
53.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
34687
42.0 IPS |
|
|
Object Detection (F32)
|
100% |
2178
162.6 IPS |
|
|
Object Detection (F16)
|
100% |
2131
159.1 IPS |
|
|
Object Detection (I8)
|
66% |
1350
100.8 IPS |
|
|
Face Detection (F32)
|
100% |
7204
85.7 IPS |
|
|
Face Detection (F16)
|
100% |
7210
85.7 IPS |
|
|
Face Detection (I8)
|
90% |
5506
65.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
16187
125.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
16141
125.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
12059
93.5 IPS |
|
|
Style Transfer (F32)
|
100% |
68993
90.8 IPS |
|
|
Style Transfer (F16)
|
100% |
69273
91.1 IPS |
|
|
Style Transfer (I8)
|
98% |
53862
70.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9520
340.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9568
341.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6398
228.5 IPS |
|
|
Text Classification (F32)
|
100% |
1007
1.45 KIPS |
|
|
Text Classification (F16)
|
100% |
911
1.31 KIPS |
|
|
Text Classification (I8)
|
98% |
501
720.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1504
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1515
27.9 IPS |
|
|
Machine Translation (I8)
|
69% |
873
16.1 IPS |
