Dell Inc. Precision 5680
Geekbench AI Score
3144
Single Precision Score
1248
Half Precision Score
4065
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:18 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% |
1831
340.6 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (Q)
|
99% |
3534
659.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
920
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2727
44.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6259
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3253
3.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
21256
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
2055
163.0 IPS |
|
|
Object Detection (HP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
88% |
1999
160.3 IPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
1412
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
3862
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7220
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1589
12.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
7541
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14385
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9455
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22223
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2561
94.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1788
66.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3994
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
1565
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
566
755.2 IPS |
|
|
Text Classification (Q)
|
97% |
579
776.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1668
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.95 IPS |
|
|
Machine Translation (Q)
|
60% |
2015
44.9 IPS |
