Dell Inc. Precision 3591
Geekbench AI Score
2783
Single Precision Score
7675
Half Precision Score
11918
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | leow149 |
| Upload Date | July 28 2025 04:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1611
299.6 IPS |
|
|
Image Classification (HP)
|
100% |
5836
1.09 KIPS |
|
|
Image Classification (Q)
|
100% |
8438
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2340
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2464
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3377
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3708
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
29350
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63617
74.5 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
100% |
4808
381.3 IPS |
|
|
Object Detection (Q)
|
87% |
8297
665.9 IPS |
|
|
Face Detection (SP)
|
100% |
4393
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
11034
131.1 IPS |
|
|
Face Detection (Q)
|
100% |
19016
225.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4136
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12320
94.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
23618
183.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10744
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35927
46.2 IPS |
|
|
Style Transfer (Q)
|
98% |
68188
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2092
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11677
431.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19640
727.3 IPS |
|
|
Text Classification (SP)
|
100% |
1817
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1754
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
1800
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3496
60.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3552
61.2 IPS |
