Generic
Geekbench AI Score
352
Single Precision Score
352
Half Precision Score
1045
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | ViNsTeR777 |
| Upload Date | March 10 2025 01:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Pentium(R) CPU G4400 @ 3.30GHz |
| 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% |
206
38.2 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
100% |
750
139.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
267
4.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
853
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
326
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
326
0.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
1279
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.6 IPS |
|
|
Object Detection (Q)
|
87% |
741
59.4 IPS |
|
|
Face Detection (SP)
|
100% |
693
8.24 IPS |
|
|
Face Detection (HP)
|
100% |
693
8.24 IPS |
|
|
Face Detection (Q)
|
97% |
1877
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
489
3.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
488
3.76 IPS |
|
|
Depth Estimation (Q)
|
81% |
1662
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
930
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
934
1.20 IPS |
|
|
Style Transfer (Q)
|
98% |
4072
5.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
213
7.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
213
7.86 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
798
29.5 IPS |
|
|
Text Classification (SP)
|
100% |
309
412.9 IPS |
|
|
Text Classification (HP)
|
100% |
310
414.4 IPS |
|
|
Text Classification (Q)
|
91% |
629
845.6 IPS |
|
|
Machine Translation (SP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.02 IPS |
|
|
Machine Translation (Q)
|
100% |
403
6.94 IPS |
