Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
285
Single Precision Score
206
Half Precision Score
400
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 30 2025 05:23 PM |
| Views | 2 |
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% |
176
32.7 IPS |
|
|
Image Classification (HP)
|
100% |
102
18.9 IPS |
|
|
Image Classification (Q)
|
96% |
286
53.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (Q)
|
97% |
250
4.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
308
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
286
0.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
545
0.64 IPS |
|
|
Object Detection (SP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.83 IPS |
|
|
Object Detection (Q)
|
58% |
206
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
522
6.20 IPS |
|
|
Face Detection (HP)
|
100% |
290
3.44 IPS |
|
|
Face Detection (Q)
|
96% |
683
8.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
433
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
303
2.33 IPS |
|
|
Depth Estimation (Q)
|
78% |
646
5.14 IPS |
|
|
Style Transfer (SP)
|
100% |
851
1.09 IPS |
|
|
Style Transfer (HP)
|
100% |
802
1.03 IPS |
|
|
Style Transfer (Q)
|
87% |
1225
1.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
189
6.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
311
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.2 IPS |
|
|
Text Classification (HP)
|
100% |
144
192.6 IPS |
|
|
Text Classification (Q)
|
97% |
184
246.9 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
178
3.06 IPS |
|
|
Machine Translation (Q)
|
68% |
425
8.21 IPS |
