Gigabyte Technology Co., Ltd. H97-HD3
Geekbench ML Score
373
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 08 2024 02:14 AM |
| Views | 2 |
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 | Intel(R) HD Graphics 4600 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
204
38.1 IPS |
|
|
Image Classification (F16)
|
100% |
195
36.4 IPS |
|
|
Image Classification (I8)
|
100% |
110
20.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
283
4.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
283
4.72 IPS |
|
|
Image Segmentation (I8)
|
98% |
141
2.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
1015
1.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
1015
1.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
772
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
247
18.5 IPS |
|
|
Object Detection (F16)
|
100% |
247
18.4 IPS |
|
|
Object Detection (I8)
|
63% |
135
10.1 IPS |
|
|
Face Detection (F32)
|
100% |
424
5.04 IPS |
|
|
Face Detection (F16)
|
100% |
423
5.03 IPS |
|
|
Face Detection (I8)
|
87% |
177
2.11 IPS |
|
|
Depth Estimation (F32)
|
100% |
732
5.68 IPS |
|
|
Depth Estimation (F16)
|
100% |
734
5.69 IPS |
|
|
Depth Estimation (I8)
|
94% |
437
3.39 IPS |
|
|
Style Transfer (F32)
|
100% |
1678
2.21 IPS |
|
|
Style Transfer (F16)
|
100% |
1677
2.21 IPS |
|
|
Style Transfer (I8)
|
98% |
1252
1.65 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
583
20.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
580
20.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
302
10.8 IPS |
|
|
Text Classification (F32)
|
100% |
305
438.3 IPS |
|
|
Text Classification (F16)
|
100% |
306
439.7 IPS |
|
|
Text Classification (I8)
|
98% |
79
113.6 IPS |
|
|
Machine Translation (F32)
|
100% |
523
9.62 IPS |
|
|
Machine Translation (F16)
|
100% |
512
9.42 IPS |
|
|
Machine Translation (I8)
|
71% |
85
1.57 IPS |
