System manufacturer System Product Name
Geekbench AI Score
328
Single Precision Score
234
Half Precision Score
459
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | March 23 2025 08:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G2030 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Maximus IV Extreme-Z |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Pentium G2030 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
202
37.5 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
96% |
327
61.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
285
4.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
347
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
323
0.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
625
0.74 IPS |
|
|
Object Detection (SP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
58% |
230
25.2 IPS |
|
|
Face Detection (SP)
|
100% |
598
7.10 IPS |
|
|
Face Detection (HP)
|
100% |
340
4.05 IPS |
|
|
Face Detection (Q)
|
96% |
790
9.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
483
3.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
338
2.61 IPS |
|
|
Depth Estimation (Q)
|
78% |
733
5.83 IPS |
|
|
Style Transfer (SP)
|
100% |
959
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
902
1.16 IPS |
|
|
Style Transfer (Q)
|
87% |
1485
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
214
7.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
197
7.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
352
13.0 IPS |
|
|
Text Classification (SP)
|
100% |
225
299.7 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.8 IPS |
|
|
Text Classification (Q)
|
97% |
204
273.4 IPS |
|
|
Machine Translation (SP)
|
100% |
395
6.81 IPS |
|
|
Machine Translation (HP)
|
100% |
202
3.48 IPS |
|
|
Machine Translation (Q)
|
68% |
502
9.69 IPS |
