Dell Inc. Precision 5690
Geekbench AI Score
2062
Single Precision Score
838
Half Precision Score
2816
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 01:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Precision 5690 |
| Motherboard | Dell Inc. 088TDK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1199
223.0 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (Q)
|
99% |
2719
507.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
2092
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3030
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1962
2.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
13870
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (Q)
|
88% |
1290
103.4 IPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
877
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
3251
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4434
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1244
9.59 IPS |
|
|
Depth Estimation (Q)
|
77% |
5610
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8192
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6630
8.52 IPS |
|
|
Style Transfer (Q)
|
98% |
15635
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3018
111.8 IPS |
|
|
Text Classification (SP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
385
513.5 IPS |
|
|
Text Classification (Q)
|
97% |
327
438.5 IPS |
|
|
Machine Translation (SP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
60% |
1097
24.5 IPS |
