Dell Inc. Vostro 15 7510
Geekbench AI Score
2279
Single Precision Score
1030
Half Precision Score
4684
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ravz85 |
| Upload Date | February 26 2025 03:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Vostro 15 7510 |
| Motherboard | Dell Inc. 0TW2DN |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1977
367.7 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (Q)
|
99% |
5023
936.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
567
9.18 IPS |
|
|
Image Segmentation (Q)
|
98% |
2120
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3214
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2735
3.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
13554
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1752
139.0 IPS |
|
|
Object Detection (HP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (Q)
|
86% |
4739
380.8 IPS |
|
|
Face Detection (SP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
6658
79.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4427
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1496
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10649
85.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7587
9.75 IPS |
|
|
Style Transfer (HP)
|
100% |
7052
9.07 IPS |
|
|
Style Transfer (Q)
|
98% |
16051
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1418
52.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1223
45.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2779
102.9 IPS |
|
|
Text Classification (SP)
|
100% |
1169
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
603
805.0 IPS |
|
|
Text Classification (Q)
|
97% |
1102
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (Q)
|
65% |
2136
42.9 IPS |
