Dell Inc. Precision 5690
Geekbench AI Score
2549
Single Precision Score
1136
Half Precision Score
3270
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:02 AM |
| Views | 4 |
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% |
1499
278.8 IPS |
|
|
Image Classification (HP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (Q)
|
99% |
3137
585.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
930
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2621
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5650
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3563
4.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
21391
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (HP)
|
100% |
562
44.6 IPS |
|
|
Object Detection (Q)
|
88% |
1755
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
3646
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
1425
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
3713
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6165
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1781
13.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
5373
43.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12116
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8267
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15868
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1732
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1407
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2432
90.1 IPS |
|
|
Text Classification (SP)
|
100% |
1077
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
435
580.8 IPS |
|
|
Text Classification (Q)
|
97% |
343
459.6 IPS |
|
|
Machine Translation (SP)
|
100% |
954
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
350
6.03 IPS |
|
|
Machine Translation (Q)
|
60% |
1719
38.3 IPS |
