Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
152
Single Precision Score
115
Half Precision Score
224
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 29 2025 01:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G2020 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. H61M-DS2 3.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Pentium G2020 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
88
16.4 IPS |
|
|
Image Classification (HP)
|
100% |
55
10.2 IPS |
|
|
Image Classification (Q)
|
96% |
150
28.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
93
1.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
78
1.27 IPS |
|
|
Image Segmentation (Q)
|
97% |
144
2.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
192
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
176
0.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
333
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.53 IPS |
|
|
Object Detection (HP)
|
100% |
58
4.58 IPS |
|
|
Object Detection (Q)
|
58% |
104
11.4 IPS |
|
|
Face Detection (SP)
|
100% |
258
3.07 IPS |
|
|
Face Detection (HP)
|
100% |
161
1.91 IPS |
|
|
Face Detection (Q)
|
96% |
355
4.23 IPS |
|
|
Depth Estimation (SP)
|
100% |
222
1.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
162
1.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
347
2.76 IPS |
|
|
Style Transfer (SP)
|
100% |
522
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
484
0.62 IPS |
|
|
Style Transfer (Q)
|
87% |
787
1.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
105
3.88 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
96
3.56 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
173
6.40 IPS |
|
|
Text Classification (SP)
|
100% |
103
137.9 IPS |
|
|
Text Classification (HP)
|
100% |
81
108.0 IPS |
|
|
Text Classification (Q)
|
97% |
107
142.8 IPS |
|
|
Machine Translation (SP)
|
100% |
162
2.79 IPS |
|
|
Machine Translation (HP)
|
100% |
102
1.76 IPS |
|
|
Machine Translation (Q)
|
68% |
242
4.67 IPS |
