Dell Inc. Precision 7680
Geekbench AI Score
2469
Single Precision Score
2499
Half Precision Score
1557
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | ce107 |
| Upload Date | November 28 2025 06:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1748
325.0 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.7 IPS |
|
|
Image Classification (Q)
|
99% |
1075
200.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2701
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2670
43.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1060
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3391
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3462
4.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
3840
4.50 IPS |
|
|
Object Detection (SP)
|
100% |
2114
167.7 IPS |
|
|
Object Detection (HP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (Q)
|
85% |
1350
108.7 IPS |
|
|
Face Detection (SP)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3568
42.4 IPS |
|
|
Face Detection (Q)
|
97% |
2510
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3078
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2107
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4066
5.23 IPS |
|
|
Style Transfer (HP)
|
100% |
4076
5.24 IPS |
|
|
Style Transfer (Q)
|
98% |
6357
8.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1761
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2094
77.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1647
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
1361
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1358
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
475
637.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2341
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2188
37.7 IPS |
|
|
Machine Translation (Q)
|
58% |
542
12.7 IPS |
