Dell Inc. Precision 5690
Geekbench AI Score
2942
Single Precision Score
1251
Half Precision Score
3703
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 02:00 PM |
| 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% |
1732
322.0 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (Q)
|
99% |
2978
555.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2599
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5586
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3562
4.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
21397
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (HP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (Q)
|
88% |
1778
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3812
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
1437
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
3589
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6175
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1790
13.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7658
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13297
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9138
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19247
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2395
88.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3378
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
543
724.6 IPS |
|
|
Text Classification (Q)
|
97% |
487
652.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1721
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.93 IPS |
|
|
Machine Translation (Q)
|
60% |
1895
42.3 IPS |
