Dell Inc. Precision 5680
Geekbench AI Score
4904
Single Precision Score
6397
Half Precision Score
9671
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | May 09 2025 03:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2871
533.9 IPS |
|
|
Image Classification (HP)
|
100% |
4312
801.8 IPS |
|
|
Image Classification (Q)
|
99% |
5243
977.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4937
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7739
125.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9069
147.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11591
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
8463
9.87 IPS |
|
|
Pose Estimation (Q)
|
97% |
34111
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
2898
229.8 IPS |
|
|
Object Detection (HP)
|
100% |
3970
314.9 IPS |
|
|
Object Detection (Q)
|
90% |
6424
513.7 IPS |
|
|
Face Detection (SP)
|
100% |
8176
97.1 IPS |
|
|
Face Detection (HP)
|
100% |
11138
132.3 IPS |
|
|
Face Detection (Q)
|
100% |
15611
185.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10796
83.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
16119
124.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
20350
158.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28975
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38013
48.9 IPS |
|
|
Style Transfer (Q)
|
98% |
75963
98.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4652
171.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7075
261.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12884
477.1 IPS |
|
|
Text Classification (SP)
|
71% |
1101
1.59 KIPS |
|
|
Text Classification (HP)
|
71% |
1285
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
1219
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1650
28.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1814
31.2 IPS |
