Dell Inc. Dell Pro 16 Plus PB16250
Geekbench AI Score
3153
Single Precision Score
2243
Half Precision Score
8329
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 09 2026 08:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 266V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Dell Pro 16 Plus PB16250 |
| Motherboard | Dell Inc. 09VN0X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 266V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1909
355.1 IPS |
|
|
Image Classification (HP)
|
100% |
1395
259.5 IPS |
|
|
Image Classification (Q)
|
100% |
5351
995.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5001
81.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3368
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2294
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
13080
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1868
148.2 IPS |
|
|
Object Detection (HP)
|
100% |
1365
108.3 IPS |
|
|
Object Detection (Q)
|
88% |
5560
445.7 IPS |
|
|
Face Detection (SP)
|
100% |
5398
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
4396
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
13613
161.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4634
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3293
25.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
14339
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10024
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6655
8.56 IPS |
|
|
Style Transfer (Q)
|
98% |
37179
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2146
79.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7767
287.7 IPS |
|
|
Text Classification (SP)
|
100% |
2149
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
4354
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2913
50.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3364
57.9 IPS |
