Dell Inc. Precision 7760
Geekbench AI Score
3830
Single Precision Score
1507
Half Precision Score
6648
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | June 13 2025 12:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7760 |
| Motherboard | Dell Inc. 086PC6 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3338
620.8 IPS |
|
|
Image Classification (HP)
|
100% |
512
95.1 IPS |
|
|
Image Classification (Q)
|
99% |
6927
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
822
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3232
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6150
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4782
5.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
20462
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
3039
241.1 IPS |
|
|
Object Detection (HP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
86% |
7097
570.4 IPS |
|
|
Face Detection (SP)
|
100% |
5523
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
1497
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
9260
110.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8273
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2104
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14394
114.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14527
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11186
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20681
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2813
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2212
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3983
147.5 IPS |
|
|
Text Classification (SP)
|
100% |
1614
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1421
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2119
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3327
66.8 IPS |
