Dell Inc. Dell Pro Tower Plus QBT1250
Geekbench AI Score
3791
Single Precision Score
6411
Half Precision Score
10029
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 02:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
2135
397.0 IPS |
|
|
Image Classification (HP)
|
100% |
3876
720.7 IPS |
|
|
Image Classification (Q)
|
100% |
6306
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5753
93.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9042
146.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8588
10.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
8227
9.63 IPS |
|
|
Pose Estimation (Q)
|
97% |
26504
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.6 IPS |
|
|
Object Detection (HP)
|
99% |
3862
306.3 IPS |
|
|
Object Detection (Q)
|
88% |
6680
535.3 IPS |
|
|
Face Detection (SP)
|
100% |
4656
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
9614
114.2 IPS |
|
|
Face Detection (Q)
|
100% |
16450
195.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9100
70.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
16569
128.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
20162
156.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21898
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32912
42.3 IPS |
|
|
Style Transfer (Q)
|
98% |
62106
80.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7492
276.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11507
426.1 IPS |
|
|
Text Classification (SP)
|
71% |
1283
1.86 KIPS |
|
|
Text Classification (HP)
|
71% |
2051
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2035
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1398
24.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2056
35.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2115
36.4 IPS |
