Dell Inc. Dell System Vostro 3750
Geekbench AI Score
16
Single Precision Score
16
Half Precision Score
11
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | Imro74 |
| Upload Date | February 15 2026 05:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-2630QM |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Dell Inc. Dell System Vostro 3750 |
| Motherboard | Dell Inc. 0VP036 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2630QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9
1.72 IPS |
|
|
Image Classification (HP)
|
100% |
9
1.72 IPS |
|
|
Image Classification (Q)
|
97% |
7
1.35 IPS |
|
|
Image Segmentation (SP)
|
100% |
13
0.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
13
0.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
10
0.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
15
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
15
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
12
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
9
0.71 IPS |
|
|
Object Detection (HP)
|
100% |
9
0.71 IPS |
|
|
Object Detection (Q)
|
87% |
7
0.56 IPS |
|
|
Face Detection (SP)
|
100% |
30
0.36 IPS |
|
|
Face Detection (HP)
|
100% |
31
0.36 IPS |
|
|
Face Detection (Q)
|
97% |
23
0.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
21
0.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
21
0.17 IPS |
|
|
Depth Estimation (Q)
|
64% |
14
0.13 IPS |
|
|
Style Transfer (SP)
|
100% |
45
0.06 IPS |
|
|
Style Transfer (HP)
|
100% |
45
0.06 IPS |
|
|
Style Transfer (Q)
|
98% |
36
0.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9
0.35 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9
0.35 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
7
0.28 IPS |
|
|
Text Classification (SP)
|
100% |
12
16.2 IPS |
|
|
Text Classification (HP)
|
100% |
12
16.2 IPS |
|
|
Text Classification (Q)
|
91% |
9
12.2 IPS |
|
|
Machine Translation (SP)
|
100% |
23
0.40 IPS |
|
|
Machine Translation (HP)
|
100% |
23
0.40 IPS |
|
|
Machine Translation (Q)
|
58% |
12
0.29 IPS |
