Dell Inc. Precision 5680
Geekbench AI Score
2935
Single Precision Score
1248
Half Precision Score
3554
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 12:52 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 | 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% |
1539
286.1 IPS |
|
|
Image Classification (HP)
|
100% |
478
88.9 IPS |
|
|
Image Classification (Q)
|
99% |
3291
613.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1728
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6174
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3987
4.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
19075
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2111
167.4 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
88% |
1750
140.3 IPS |
|
|
Face Detection (SP)
|
100% |
3390
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
1437
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
3963
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6782
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1791
13.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7877
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14062
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7739
9.95 IPS |
|
|
Style Transfer (Q)
|
98% |
18053
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2374
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3011
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
1163
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
600
801.3 IPS |
|
|
Text Classification (Q)
|
97% |
503
674.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
60% |
1986
44.3 IPS |
