Dell Inc. Precision 5690
Geekbench AI Score
2525
Single Precision Score
1098
Half Precision Score
3224
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 03:40 PM |
| 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. 0CD7WC |
| 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% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.6 IPS |
|
|
Image Classification (Q)
|
99% |
2594
483.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2370
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4952
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3267
3.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
17076
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1703
135.1 IPS |
|
|
Object Detection (HP)
|
100% |
491
39.0 IPS |
|
|
Object Detection (Q)
|
88% |
1476
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
3298
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
1298
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
3480
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5616
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1733
13.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
6376
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11046
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7632
9.81 IPS |
|
|
Style Transfer (Q)
|
98% |
18318
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2192
81.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2889
107.0 IPS |
|
|
Text Classification (SP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
426
568.7 IPS |
|
|
Text Classification (Q)
|
97% |
442
591.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (Q)
|
60% |
1512
33.7 IPS |
