Dell Inc. Precision 3591
Geekbench AI Score
4644
Single Precision Score
8275
Half Precision Score
13508
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | leow149 |
| Upload Date | September 01 2025 09:49 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 | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2228
414.3 IPS |
|
|
Image Classification (HP)
|
100% |
4210
783.0 IPS |
|
|
Image Classification (Q)
|
100% |
6085
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6282
101.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10874
176.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12817
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
14810
17.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
49737
58.2 IPS |
|
|
Object Detection (SP)
|
100% |
3248
257.6 IPS |
|
|
Object Detection (HP)
|
100% |
6318
501.2 IPS |
|
|
Object Detection (Q)
|
88% |
9875
791.3 IPS |
|
|
Face Detection (SP)
|
100% |
4450
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
9757
115.9 IPS |
|
|
Face Detection (Q)
|
100% |
19887
236.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11671
89.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
21639
167.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
27011
209.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34563
44.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48314
62.1 IPS |
|
|
Style Transfer (Q)
|
98% |
116399
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5872
216.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10576
390.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16223
600.8 IPS |
|
|
Text Classification (SP)
|
71% |
1354
1.96 KIPS |
|
|
Text Classification (HP)
|
71% |
2207
3.19 KIPS |
|
|
Text Classification (Q)
|
92% |
2250
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2558
44.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2728
47.1 IPS |
