Gigabyte Technology Co., Ltd. To be filled by O.E.M.
Geekbench AI Score
263
Single Precision Score
178
Half Precision Score
354
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 19 2025 12:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G630 |
| 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 G630 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
163
30.3 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.5 IPS |
|
|
Image Classification (Q)
|
96% |
258
48.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
121
1.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
224
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
246
0.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
490
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.70 IPS |
|
|
Object Detection (Q)
|
58% |
184
20.2 IPS |
|
|
Face Detection (SP)
|
100% |
471
5.59 IPS |
|
|
Face Detection (HP)
|
100% |
256
3.04 IPS |
|
|
Face Detection (Q)
|
96% |
585
6.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
402
3.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
262
2.02 IPS |
|
|
Depth Estimation (Q)
|
78% |
571
4.54 IPS |
|
|
Style Transfer (SP)
|
100% |
793
1.02 IPS |
|
|
Style Transfer (HP)
|
100% |
695
0.89 IPS |
|
|
Style Transfer (Q)
|
87% |
1058
1.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
175
6.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
149
5.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
280
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
176
234.9 IPS |
|
|
Text Classification (HP)
|
100% |
124
165.4 IPS |
|
|
Text Classification (Q)
|
97% |
163
218.1 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (HP)
|
100% |
145
2.49 IPS |
|
|
Machine Translation (Q)
|
68% |
378
7.30 IPS |
