Dell Inc. Precision 7560
Geekbench AI Score
2986
Single Precision Score
1280
Half Precision Score
6481
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Outrun9430 |
| Upload Date | October 05 2025 04:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 7560 |
| Motherboard | Dell Inc. 0G01WF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11850H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2978
553.7 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (Q)
|
99% |
6491
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7255
118.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4607
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3660
4.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
16972
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
86% |
5904
474.5 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
8142
97.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6375
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1787
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13101
104.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9701
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9012
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
13282
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1821
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5571
206.3 IPS |
|
|
Text Classification (SP)
|
100% |
1724
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1323
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1840
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2657
53.4 IPS |
