Dell Inc. Precision 7680
Geekbench AI Score
2689
Single Precision Score
3870
Half Precision Score
6074
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rintalahri |
| Upload Date | June 12 2025 07:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Dell Inc. Precision 7680 |
| Motherboard | Dell Inc. 0XRC2C |
| Power Plan | Paras suoritusteho |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1596
296.8 IPS |
|
|
Image Classification (HP)
|
100% |
2632
489.5 IPS |
|
|
Image Classification (Q)
|
99% |
4113
767.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3963
64.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4777
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4364
5.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
3182
3.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
13060
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1477
117.2 IPS |
|
|
Object Detection (HP)
|
98% |
2361
187.9 IPS |
|
|
Object Detection (Q)
|
90% |
4357
348.4 IPS |
|
|
Face Detection (SP)
|
100% |
5061
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
7822
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
10492
124.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5139
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8531
65.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11561
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11320
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17678
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29851
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2019
74.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3299
121.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6742
249.7 IPS |
|
|
Text Classification (SP)
|
71% |
1170
1.69 KIPS |
|
|
Text Classification (HP)
|
71% |
1420
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
1423
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1743
30.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1762
30.4 IPS |
