Dell Inc. Precision 5690
Geekbench AI Score
1928
Single Precision Score
837
Half Precision Score
2563
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 08:26 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% |
1092
203.1 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.2 IPS |
|
|
Image Classification (Q)
|
99% |
2158
402.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
1656
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2866
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2087
2.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
12189
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1089
86.4 IPS |
|
|
Object Detection (HP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (Q)
|
88% |
1079
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
2351
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
911
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
2848
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4523
34.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1100
8.47 IPS |
|
|
Depth Estimation (Q)
|
77% |
4909
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8297
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6099
7.84 IPS |
|
|
Style Transfer (Q)
|
98% |
14125
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1217
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2694
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
507
676.4 IPS |
|
|
Text Classification (Q)
|
97% |
396
530.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (Q)
|
60% |
1240
27.7 IPS |
