GIGABYTE GA-H77TN-00
Geekbench AI Score
305
Single Precision Score
304
Half Precision Score
963
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| User | JLK03F150 |
| Upload Date | August 17 2024 03:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3330S CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | GIGABYTE GA-H77TN-00 |
| Motherboard | GIGABYTE GA-H77TN-00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3330S |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
351
65.2 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.6 IPS |
|
|
Image Classification (Q)
|
100% |
605
112.4 IPS |
|
|
Image Segmentation (SP)
|
29% |
38
7.96 IPS |
|
|
Image Segmentation (HP)
|
29% |
38
8.00 IPS |
|
|
Image Segmentation (Q)
|
99% |
671
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
592
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
592
0.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
1241
1.46 IPS |
|
|
Object Detection (SP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (HP)
|
100% |
340
27.0 IPS |
|
|
Object Detection (Q)
|
87% |
606
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
1730
20.6 IPS |
|
|
Depth Estimation (SP)
|
29% |
81
8.65 IPS |
|
|
Depth Estimation (HP)
|
29% |
81
8.68 IPS |
|
|
Depth Estimation (Q)
|
80% |
1550
12.3 IPS |
|
|
Style Transfer (SP)
|
31% |
155
2.11 IPS |
|
|
Style Transfer (HP)
|
31% |
155
2.11 IPS |
|
|
Style Transfer (Q)
|
98% |
3726
4.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
762
28.2 IPS |
|
|
Text Classification (SP)
|
100% |
612
816.4 IPS |
|
|
Text Classification (HP)
|
100% |
602
803.7 IPS |
|
|
Text Classification (Q)
|
91% |
335
450.1 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (Q)
|
90% |
888
15.4 IPS |
