GIGABYTE GA-H77TN-00
Geekbench AI Score
729
Single Precision Score
269
Half Precision Score
576
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| User | JLK03F150 |
| Upload Date | August 17 2024 03:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3330S |
| 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% |
455
84.6 IPS |
|
|
Image Classification (HP)
|
100% |
66
12.3 IPS |
|
|
Image Classification (Q)
|
96% |
453
84.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
103
1.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
415
6.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
1143
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
890
1.04 IPS |
|
|
Pose Estimation (Q)
|
87% |
1039
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.18 IPS |
|
|
Object Detection (Q)
|
90% |
387
30.9 IPS |
|
|
Face Detection (SP)
|
100% |
805
9.57 IPS |
|
|
Face Detection (HP)
|
100% |
139
1.66 IPS |
|
|
Face Detection (Q)
|
96% |
874
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1316
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
374
2.88 IPS |
|
|
Depth Estimation (Q)
|
76% |
870
7.00 IPS |
|
|
Style Transfer (SP)
|
100% |
2723
3.50 IPS |
|
|
Style Transfer (HP)
|
100% |
2252
2.89 IPS |
|
|
Style Transfer (Q)
|
87% |
2280
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
523
19.4 IPS |
|
|
Text Classification (SP)
|
100% |
481
642.3 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.0 IPS |
|
|
Text Classification (Q)
|
97% |
201
269.2 IPS |
|
|
Machine Translation (SP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (Q)
|
60% |
292
6.52 IPS |
