Dell Inc. Vostro 3888
Geekbench AI Score
2194
Single Precision Score
1062
Half Precision Score
3647
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | w0olfs |
| Upload Date | February 18 2026 11:29 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10850K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Vostro 3888 |
| Motherboard | Dell Inc. 0RM5DR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10850K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1948
362.2 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (Q)
|
96% |
3637
679.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1020
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
3271
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2621
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3584
4.18 IPS |
|
|
Pose Estimation (Q)
|
86% |
9570
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
58% |
2631
287.5 IPS |
|
|
Face Detection (SP)
|
100% |
1668
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
784
9.32 IPS |
|
|
Face Detection (Q)
|
96% |
4800
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5187
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1504
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7388
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11143
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10130
13.0 IPS |
|
|
Style Transfer (Q)
|
87% |
7025
9.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1897
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1648
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3632
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
652
870.8 IPS |
|
|
Text Classification (Q)
|
97% |
956
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1146
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (Q)
|
68% |
1607
31.0 IPS |
