Dell Inc. Precision 5690
Geekbench AI Score
1923
Single Precision Score
821
Half Precision Score
2705
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 08:22 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% |
1504
279.6 IPS |
|
|
Image Classification (HP)
|
100% |
272
50.5 IPS |
|
|
Image Classification (Q)
|
99% |
3089
576.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
936
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
2223
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2965
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2153
2.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
13747
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
88% |
1077
86.4 IPS |
|
|
Face Detection (SP)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
910
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
2582
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3657
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1221
9.41 IPS |
|
|
Depth Estimation (Q)
|
77% |
4239
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8097
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5759
7.40 IPS |
|
|
Style Transfer (Q)
|
98% |
14093
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1634
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1271
46.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2918
108.1 IPS |
|
|
Text Classification (SP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
367
490.4 IPS |
|
|
Text Classification (Q)
|
97% |
340
455.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.76 IPS |
|
|
Machine Translation (Q)
|
60% |
1351
30.1 IPS |
