Dell Inc. Dell Tower Plus EBT2250
Geekbench AI Score
6528
Single Precision Score
2421
Half Precision Score
10946
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jawolken |
| Upload Date | October 16 2025 01:14 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Dell Tower Plus EBT2250 |
| Motherboard | Dell Inc. 02D3NT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5667
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
725
134.8 IPS |
|
|
Image Classification (Q)
|
99% |
9766
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15881
258.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13424
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8016
9.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
43885
51.5 IPS |
|
|
Object Detection (SP)
|
100% |
4735
375.6 IPS |
|
|
Object Detection (HP)
|
100% |
1161
92.1 IPS |
|
|
Object Detection (Q)
|
86% |
11417
917.6 IPS |
|
|
Face Detection (SP)
|
100% |
12127
144.1 IPS |
|
|
Face Detection (HP)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
12935
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14723
113.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3400
26.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
23374
186.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29378
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20388
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22633
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5022
185.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3123
115.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7018
259.9 IPS |
|
|
Text Classification (SP)
|
100% |
1975
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
948
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1564
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4232
85.0 IPS |
