Dell Inc. Precision 5680
Geekbench AI Score
2250
Single Precision Score
2351
Half Precision Score
5228
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | June 21 2025 04:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5680 |
| Motherboard | Dell Inc. 0H2FJK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1017
189.1 IPS |
|
|
Image Classification (HP)
|
100% |
995
185.1 IPS |
|
|
Image Classification (Q)
|
100% |
3994
742.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2828
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3363
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3348
3.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
11984
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (HP)
|
100% |
1005
79.7 IPS |
|
|
Object Detection (Q)
|
88% |
2351
188.4 IPS |
|
|
Face Detection (SP)
|
100% |
3909
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
4432
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
8679
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3939
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3835
29.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10280
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10059
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9736
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23025
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1242
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1239
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3932
145.6 IPS |
|
|
Text Classification (SP)
|
100% |
1694
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1750
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
2914
3.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2040
35.1 IPS |
