Dell Inc. Precision 5690
Geekbench AI Score
2334
Single Precision Score
1067
Half Precision Score
3015
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 05:17 AM |
| Views | 2 |
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% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
342
63.7 IPS |
|
|
Image Classification (Q)
|
99% |
2517
469.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1092
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1907
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4421
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3302
3.85 IPS |
|
|
Pose Estimation (Q)
|
95% |
16217
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
88% |
1308
104.8 IPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
1095
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
2559
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4670
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1499
11.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
5672
45.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11800
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8404
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17338
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3423
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
1147
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
550
734.5 IPS |
|
|
Text Classification (Q)
|
97% |
439
588.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.31 IPS |
|
|
Machine Translation (Q)
|
60% |
1614
36.0 IPS |
