Dell Inc. Precision 7550
Geekbench AI Score
1796
Single Precision Score
915
Half Precision Score
2881
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Headscarf1445 |
| Upload Date | January 31 2026 08:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Dell Inc. Precision 7550 |
| Motherboard | Dell Inc. 090NVT |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
2834
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2669
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2245
2.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
4998
5.91 IPS |
|
|
Object Detection (SP)
|
100% |
1200
95.2 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
58% |
1550
169.4 IPS |
|
|
Face Detection (SP)
|
100% |
2366
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
875
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
4286
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3492
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1313
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
5510
44.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7075
9.10 IPS |
|
|
Style Transfer (HP)
|
100% |
5403
6.95 IPS |
|
|
Style Transfer (Q)
|
87% |
8850
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2607
96.6 IPS |
|
|
Text Classification (SP)
|
100% |
1128
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
620
827.5 IPS |
|
|
Text Classification (Q)
|
97% |
910
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
547
9.42 IPS |
|
|
Machine Translation (Q)
|
68% |
1572
30.4 IPS |
