Dell Inc. Precision 3591
Geekbench AI Score
5846
Single Precision Score
10077
Half Precision Score
17196
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | leow149 |
| Upload Date | July 28 2025 04:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | Dell Inc. Precision 3591 |
| Motherboard | Dell Inc. 0VC7JN |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4335
806.1 IPS |
|
|
Image Classification (HP)
|
100% |
7233
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
9192
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7402
120.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
13213
214.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17558
20.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
19718
23.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
73922
86.5 IPS |
|
|
Object Detection (SP)
|
100% |
3918
310.8 IPS |
|
|
Object Detection (HP)
|
100% |
7341
582.3 IPS |
|
|
Object Detection (Q)
|
88% |
12076
967.7 IPS |
|
|
Face Detection (SP)
|
100% |
4936
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
10642
126.5 IPS |
|
|
Face Detection (Q)
|
100% |
22400
266.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13758
106.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
25947
200.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
35167
273.3 IPS |
|
|
Style Transfer (SP)
|
100% |
40477
52.0 IPS |
|
|
Style Transfer (HP)
|
100% |
60819
78.2 IPS |
|
|
Style Transfer (Q)
|
98% |
152116
196.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7356
271.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13013
480.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21014
778.2 IPS |
|
|
Text Classification (SP)
|
71% |
1716
2.48 KIPS |
|
|
Text Classification (HP)
|
71% |
2359
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
2607
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1832
31.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2704
46.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3178
54.9 IPS |
