To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
10
Single Precision Score
10
Half Precision Score
7
Quantized Score
Geekbench AI 1.5.0 for Linux x86 (64-bit)
Result Information
| Upload Date | November 20 2025 02:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Celeron G3930 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock H110 Pro BTC+ |
| CPU Information | |
|---|---|
| Name | Intel Celeron G3930 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 11.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6
1.13 IPS |
|
|
Image Classification (HP)
|
100% |
5
1.02 IPS |
|
|
Image Classification (Q)
|
97% |
4
0.81 IPS |
|
|
Image Segmentation (SP)
|
100% |
7
0.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
7
0.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
5
0.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
10
0.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
10
0.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
8
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
6
0.49 IPS |
|
|
Object Detection (HP)
|
100% |
6
0.49 IPS |
|
|
Object Detection (Q)
|
87% |
5
0.39 IPS |
|
|
Face Detection (SP)
|
100% |
21
0.25 IPS |
|
|
Face Detection (HP)
|
100% |
21
0.25 IPS |
|
|
Face Detection (Q)
|
97% |
16
0.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
15
0.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
15
0.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
10
0.09 IPS |
|
|
Style Transfer (SP)
|
100% |
32
0.04 IPS |
|
|
Style Transfer (HP)
|
100% |
32
0.04 IPS |
|
|
Style Transfer (Q)
|
98% |
25
0.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7
0.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7
0.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5
0.20 IPS |
|
|
Text Classification (SP)
|
100% |
8
11.1 IPS |
|
|
Text Classification (HP)
|
100% |
8
11.1 IPS |
|
|
Text Classification (Q)
|
91% |
6
8.70 IPS |
|
|
Machine Translation (SP)
|
100% |
16
0.28 IPS |
|
|
Machine Translation (HP)
|
100% |
16
0.28 IPS |
|
|
Machine Translation (Q)
|
58% |
9
0.21 IPS |
