Dell Inc. Precision 7680
Geekbench AI Score
3374
Single Precision Score
833
Half Precision Score
7219
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | ce107 |
| Upload Date | November 28 2025 06:16 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (Q)
|
97% |
6505
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
3414
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6263
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3576
4.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
25647
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
2152
170.7 IPS |
|
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (Q)
|
86% |
6213
499.3 IPS |
|
|
Face Detection (SP)
|
100% |
3822
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
434
5.16 IPS |
|
|
Face Detection (Q)
|
97% |
14492
172.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6910
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1035
7.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
13536
108.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15360
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9050
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26371
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1776
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4609
170.7 IPS |
|
|
Text Classification (SP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
573
764.6 IPS |
|
|
Text Classification (Q)
|
97% |
1524
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2538
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
65% |
2991
60.1 IPS |
