Gigabyte Technology Co., Ltd. H97-HD3
Geekbench ML Score
1209
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 08 2024 02:05 AM |
| Views | 4 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
743
139.0 IPS |
|
|
Image Classification (F16)
|
100% |
718
134.4 IPS |
|
|
Image Classification (I8)
|
97% |
942
176.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
571
9.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
540
9.01 IPS |
|
|
Image Segmentation (I8)
|
97% |
788
13.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1712
2.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
1994
2.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
2832
3.43 IPS |
|
|
Object Detection (F32)
|
100% |
664
49.6 IPS |
|
|
Object Detection (F16)
|
100% |
645
48.1 IPS |
|
|
Object Detection (I8)
|
60% |
730
54.5 IPS |
|
|
Face Detection (F32)
|
100% |
968
11.5 IPS |
|
|
Face Detection (F16)
|
100% |
1095
13.0 IPS |
|
|
Face Detection (I8)
|
87% |
1744
20.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2239
17.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2092
16.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
2556
19.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4022
5.29 IPS |
|
|
Style Transfer (F16)
|
100% |
4635
6.10 IPS |
|
|
Style Transfer (I8)
|
85% |
5356
7.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1169
41.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1131
40.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1227
43.8 IPS |
|
|
Text Classification (F32)
|
100% |
967
1.39 KIPS |
|
|
Text Classification (F16)
|
100% |
984
1.41 KIPS |
|
|
Text Classification (I8)
|
94% |
285
409.1 IPS |
|
|
Machine Translation (F32)
|
100% |
857
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
870
16.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1132
20.8 IPS |
