Generic
Geekbench AI Score
372
Single Precision Score
308
Half Precision Score
764
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | March 10 2025 12:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G4400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z170M OC Formula |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Pentium G4400 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.5 IPS |
|
|
Image Classification (Q)
|
96% |
536
100.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
241
3.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
220
3.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
499
8.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
364
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
375
0.44 IPS |
|
|
Pose Estimation (Q)
|
86% |
1003
1.19 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
58% |
376
41.1 IPS |
|
|
Face Detection (SP)
|
100% |
697
8.29 IPS |
|
|
Face Detection (HP)
|
100% |
485
5.76 IPS |
|
|
Face Detection (Q)
|
96% |
1326
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
532
4.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
436
3.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
1217
9.69 IPS |
|
|
Style Transfer (SP)
|
100% |
1049
1.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1103
1.42 IPS |
|
|
Style Transfer (Q)
|
87% |
2391
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
231
8.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
235
8.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
579
21.5 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.5 IPS |
|
|
Text Classification (HP)
|
100% |
232
309.4 IPS |
|
|
Text Classification (Q)
|
97% |
349
468.0 IPS |
|
|
Machine Translation (SP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (HP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (Q)
|
68% |
869
16.8 IPS |
