Dell Inc. XPS 8300
Geekbench AI Score
18
Single Precision Score
18
Half Precision Score
13
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| Upload Date | April 12 2025 12:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-2300 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Dell Inc. XPS 8300 |
| Motherboard | Dell Inc. 0Y2MRG |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2300 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10
1.93 IPS |
|
|
Image Classification (HP)
|
100% |
10
1.93 IPS |
|
|
Image Classification (Q)
|
97% |
8
1.53 IPS |
|
|
Image Segmentation (SP)
|
100% |
14
0.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
14
0.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
11
0.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
16
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
16
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
13
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
10
0.79 IPS |
|
|
Object Detection (HP)
|
100% |
10
0.79 IPS |
|
|
Object Detection (Q)
|
87% |
8
0.63 IPS |
|
|
Face Detection (SP)
|
100% |
34
0.41 IPS |
|
|
Face Detection (HP)
|
100% |
34
0.41 IPS |
|
|
Face Detection (Q)
|
97% |
26
0.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
24
0.19 IPS |
|
|
Depth Estimation (HP)
|
99% |
24
0.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
16
0.15 IPS |
|
|
Style Transfer (SP)
|
100% |
51
0.06 IPS |
|
|
Style Transfer (HP)
|
100% |
51
0.06 IPS |
|
|
Style Transfer (Q)
|
98% |
40
0.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11
0.39 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11
0.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8
0.31 IPS |
|
|
Text Classification (SP)
|
100% |
14
18.1 IPS |
|
|
Text Classification (HP)
|
100% |
14
18.1 IPS |
|
|
Text Classification (Q)
|
91% |
10
13.8 IPS |
|
|
Machine Translation (SP)
|
100% |
26
0.45 IPS |
|
|
Machine Translation (HP)
|
100% |
26
0.45 IPS |
|
|
Machine Translation (Q)
|
58% |
14
0.33 IPS |
