Dell Inc. Precision 7780
Geekbench AI Score
4754
Single Precision Score
5045
Half Precision Score
10780
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kgestring |
| Upload Date | December 11 2025 03:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13850HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 7780 |
| Motherboard | Dell Inc. 0CVM42 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13850HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3228
600.3 IPS |
|
|
Image Classification (HP)
|
100% |
3272
608.5 IPS |
|
|
Image Classification (Q)
|
100% |
7094
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4295
69.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4275
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8013
129.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6434
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
13919
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
100% |
2935
232.8 IPS |
|
|
Object Detection (Q)
|
88% |
7325
587.2 IPS |
|
|
Face Detection (SP)
|
100% |
5709
67.8 IPS |
|
|
Face Detection (HP)
|
100% |
5695
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
17699
210.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8117
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7977
61.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
16444
127.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19609
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19446
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
65012
83.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3738
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4069
150.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11928
441.7 IPS |
|
|
Text Classification (SP)
|
100% |
2872
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2859
3.82 KIPS |
|
|
Text Classification (Q)
|
92% |
4001
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3998
68.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4051
69.8 IPS |
