Dell Inc. Precision 5680
Geekbench AI Score
2371
Single Precision Score
2384
Half Precision Score
1471
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 11:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1019
189.5 IPS |
|
|
Image Classification (HP)
|
100% |
1278
237.7 IPS |
|
|
Image Classification (Q)
|
99% |
933
174.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1681
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1385
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13010
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10761
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
6100
7.15 IPS |
|
|
Object Detection (SP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (HP)
|
98% |
1227
97.6 IPS |
|
|
Object Detection (Q)
|
89% |
1057
84.6 IPS |
|
|
Face Detection (SP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (Q)
|
97% |
1579
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6010
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6574
50.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
3708
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17830
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22540
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
11878
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2306
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3299
121.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1023
37.9 IPS |
|
|
Text Classification (SP)
|
100% |
476
634.9 IPS |
|
|
Text Classification (HP)
|
100% |
235
313.7 IPS |
|
|
Text Classification (Q)
|
97% |
301
402.6 IPS |
|
|
Machine Translation (SP)
|
100% |
576
9.93 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (Q)
|
60% |
267
5.95 IPS |
