Dell Inc. Precision 5690
Geekbench AI Score
2822
Single Precision Score
1204
Half Precision Score
3674
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 10:35 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% |
1677
311.8 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.1 IPS |
|
|
Image Classification (Q)
|
99% |
3230
602.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1348
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
866
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2665
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5496
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3551
4.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
19383
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1875
148.8 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.5 IPS |
|
|
Object Detection (Q)
|
88% |
1656
132.8 IPS |
|
|
Face Detection (SP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
3639
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5793
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1695
13.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
7409
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12589
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8550
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18151
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2425
89.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3642
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
487
649.8 IPS |
|
|
Text Classification (Q)
|
97% |
469
628.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1627
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (Q)
|
60% |
1945
43.4 IPS |
