Gigabyte Technology Co., Ltd. H97M-D3H
Geekbench AI Score
1227
Single Precision Score
642
Half Precision Score
1317
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | vladuna |
| Upload Date | March 08 2025 10:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H97M-D3H |
| Motherboard | Gigabyte Technology Co., Ltd. H97M-D3H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
918
170.7 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.7 IPS |
|
|
Image Classification (Q)
|
96% |
1169
218.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
408
6.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
761
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1841
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1430
1.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
2261
2.67 IPS |
|
|
Object Detection (SP)
|
100% |
812
64.4 IPS |
|
|
Object Detection (HP)
|
100% |
306
24.2 IPS |
|
|
Object Detection (Q)
|
58% |
769
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
1712
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.29 IPS |
|
|
Face Detection (Q)
|
96% |
2465
29.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2300
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
924
7.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
2649
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4186
5.38 IPS |
|
|
Style Transfer (HP)
|
100% |
3241
4.17 IPS |
|
|
Style Transfer (Q)
|
87% |
5018
6.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
844
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
703
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
947
35.1 IPS |
|
|
Text Classification (SP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
450
600.5 IPS |
|
|
Text Classification (Q)
|
97% |
309
414.0 IPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
68% |
1059
20.5 IPS |
