Dell Inc. Precision 7680
Geekbench AI Score
5636
Single Precision Score
5641
Half Precision Score
12410
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | ce107 |
| Upload Date | November 28 2025 06:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13850HX |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (Workstation Edition) |
| Model | Dell Inc. Precision 7680 |
| Motherboard | Dell Inc. 0XRC2C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13850HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3462
643.8 IPS |
|
|
Image Classification (HP)
|
100% |
3451
641.7 IPS |
|
|
Image Classification (Q)
|
100% |
7501
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4450
72.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4448
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8336
135.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6649
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
6662
7.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
24188
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
3373
267.6 IPS |
|
|
Object Detection (HP)
|
100% |
3371
267.4 IPS |
|
|
Object Detection (Q)
|
88% |
8123
651.2 IPS |
|
|
Face Detection (SP)
|
100% |
9447
112.2 IPS |
|
|
Face Detection (HP)
|
100% |
9464
112.4 IPS |
|
|
Face Detection (Q)
|
100% |
18367
218.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8439
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8464
65.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
21805
169.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19726
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19731
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
67746
87.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4212
155.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4204
155.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12794
473.8 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (Q)
|
92% |
4317
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4748
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4709
81.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4707
81.1 IPS |
