Dell Inc. Precision 5680
Geekbench AI Score
3184
Single Precision Score
1297
Half Precision Score
4067
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5680 |
| Motherboard | Dell Inc. 0H2FJK |
| Power Plan | High performance |
| 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% |
1883
350.2 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
99% |
3490
650.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
927
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2840
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6330
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3920
4.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
20942
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (HP)
|
100% |
580
46.0 IPS |
|
|
Object Detection (Q)
|
88% |
1997
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
3602
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
3983
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7127
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1703
13.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7459
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14600
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9420
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20774
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2802
103.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1954
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4099
151.8 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
571
762.0 IPS |
|
|
Text Classification (Q)
|
97% |
576
771.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
60% |
2050
45.7 IPS |
