Dell Inc. Precision 5680
Geekbench AI Score
4705
Single Precision Score
6181
Half Precision Score
9087
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | June 21 2025 04:05 PM |
| Views | 3 |
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% |
3200
595.0 IPS |
|
|
Image Classification (HP)
|
100% |
4481
833.4 IPS |
|
|
Image Classification (Q)
|
99% |
5760
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4666
75.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7573
122.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8560
138.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11417
13.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
8338
9.73 IPS |
|
|
Pose Estimation (Q)
|
97% |
33105
38.8 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.4 IPS |
|
|
Object Detection (HP)
|
100% |
3861
306.3 IPS |
|
|
Object Detection (Q)
|
90% |
6331
506.2 IPS |
|
|
Face Detection (SP)
|
100% |
8299
98.6 IPS |
|
|
Face Detection (HP)
|
100% |
11163
132.6 IPS |
|
|
Face Detection (Q)
|
100% |
14999
178.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9852
75.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
15122
116.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
15684
121.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29198
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36964
47.5 IPS |
|
|
Style Transfer (Q)
|
98% |
78312
101.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4499
166.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7020
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12589
466.2 IPS |
|
|
Text Classification (SP)
|
71% |
1143
1.65 KIPS |
|
|
Text Classification (HP)
|
71% |
1362
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
1179
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1249
21.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1360
23.4 IPS |
