Dell Inc. Precision 5690
Geekbench AI Score
2117
Single Precision Score
945
Half Precision Score
3043
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 08:19 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. 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% |
1629
303.0 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.1 IPS |
|
|
Image Classification (Q)
|
99% |
3078
574.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
564
9.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
2396
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3172
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2255
2.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
13901
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
88% |
1514
121.3 IPS |
|
|
Face Detection (SP)
|
100% |
2596
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
2771
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4137
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1255
9.67 IPS |
|
|
Depth Estimation (Q)
|
77% |
5025
40.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9063
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6102
7.84 IPS |
|
|
Style Transfer (Q)
|
98% |
15337
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1302
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2859
105.9 IPS |
|
|
Text Classification (SP)
|
100% |
1113
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
570
760.8 IPS |
|
|
Text Classification (Q)
|
97% |
437
585.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
60% |
1647
36.7 IPS |
