| User | EldeeGeekBench |
| Upload Date | December 28 2025 07:24 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2442
454.1 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
99% |
4846
903.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6030
98.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4622
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3689
4.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
15801
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.2 IPS |
|
|
Object Detection (HP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (Q)
|
86% |
4906
394.3 IPS |
|
|
Face Detection (SP)
|
100% |
4249
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
6910
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5652
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1585
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10820
86.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10766
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8467
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
15460
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2086
77.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4375
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
1244
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
587
784.0 IPS |
|
|
Text Classification (Q)
|
97% |
966
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1466
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
563
9.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1937
38.9 IPS |