Dell Inc. Dell Pro 16 Plus PB16250
Geekbench AI Score
4239
Single Precision Score
7878
Half Precision Score
12586
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 06:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 16 Plus PB16250 |
| Motherboard | Dell Inc. 0R3JVY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3212
597.3 IPS |
|
|
Image Classification (HP)
|
100% |
5403
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
7529
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6539
106.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9999
162.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11613
13.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
10989
12.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
33207
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
2952
234.1 IPS |
|
|
Object Detection (HP)
|
100% |
5205
412.8 IPS |
|
|
Object Detection (Q)
|
88% |
9023
723.1 IPS |
|
|
Face Detection (SP)
|
100% |
3877
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
10499
124.8 IPS |
|
|
Face Detection (Q)
|
100% |
18807
223.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7934
61.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
19037
147.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
25190
195.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24532
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35962
46.2 IPS |
|
|
Style Transfer (Q)
|
98% |
90751
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4666
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9147
337.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14392
533.0 IPS |
|
|
Text Classification (SP)
|
71% |
1400
2.02 KIPS |
|
|
Text Classification (HP)
|
71% |
2239
3.24 KIPS |
|
|
Text Classification (Q)
|
92% |
2332
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3099
53.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3065
53.0 IPS |
