Dell Inc. Dell Pro Tower Plus QBT1250
Geekbench AI Score
4982
Single Precision Score
8250
Half Precision Score
12744
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 02:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Dell Inc. Dell Pro Tower Plus QBT1250 |
| Motherboard | Dell Inc. 049TYW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235 |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3032
563.8 IPS |
|
|
Image Classification (HP)
|
100% |
5956
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
9064
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3906
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2747
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3845
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5822
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
33568
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
71296
83.5 IPS |
|
|
Object Detection (SP)
|
100% |
2790
221.3 IPS |
|
|
Object Detection (HP)
|
100% |
4841
384.0 IPS |
|
|
Object Detection (Q)
|
87% |
8726
700.3 IPS |
|
|
Face Detection (SP)
|
100% |
7528
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
13009
154.6 IPS |
|
|
Face Detection (Q)
|
100% |
20344
241.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7315
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13398
103.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
21080
164.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17537
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39805
51.2 IPS |
|
|
Style Transfer (Q)
|
98% |
78529
101.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3752
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12117
447.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25535
945.7 IPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1992
2.66 KIPS |
|
|
Text Classification (Q)
|
92% |
1882
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4480
77.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3283
56.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3222
55.5 IPS |
