Dell Inc. Precision 5690
Geekbench AI Score
3059
Single Precision Score
1226
Half Precision Score
4616
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | forcetrainer |
| Upload Date | January 15 2025 01:15 AM |
| 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. 096JV4 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2400
446.3 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (Q)
|
99% |
4718
879.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2157
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5237
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3545
4.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
19646
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
2123
168.4 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
86% |
4626
371.8 IPS |
|
|
Face Detection (SP)
|
100% |
6309
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
1344
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
6681
79.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6795
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1746
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12296
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12787
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8775
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18449
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2289
84.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1721
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3179
117.7 IPS |
|
|
Text Classification (SP)
|
100% |
1230
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
570
761.4 IPS |
|
|
Text Classification (Q)
|
97% |
445
596.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2215
44.5 IPS |
