Dell Inc. Precision 5680
Geekbench AI Score
2276
Single Precision Score
901
Half Precision Score
2916
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 06:08 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% |
1283
238.6 IPS |
|
|
Image Classification (HP)
|
100% |
320
59.4 IPS |
|
|
Image Classification (Q)
|
99% |
2322
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1928
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5229
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2050
2.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
14603
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (Q)
|
88% |
1481
118.7 IPS |
|
|
Face Detection (SP)
|
100% |
2167
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
1048
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
2759
32.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4666
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1186
9.14 IPS |
|
|
Depth Estimation (Q)
|
77% |
5807
46.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9060
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
5958
7.66 IPS |
|
|
Style Transfer (Q)
|
98% |
15994
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2204
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1290
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3167
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
1346
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
533
712.1 IPS |
|
|
Text Classification (Q)
|
97% |
347
465.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1199
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
408
7.03 IPS |
|
|
Machine Translation (Q)
|
60% |
1634
36.4 IPS |
