Dell Inc. Precision 5690
Geekbench AI Score
2983
Single Precision Score
1271
Half Precision Score
3694
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 08:24 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% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.5 IPS |
|
|
Image Classification (Q)
|
99% |
3145
586.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2566
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5618
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3566
4.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
21135
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
1928
152.9 IPS |
|
|
Object Detection (HP)
|
100% |
562
44.5 IPS |
|
|
Object Detection (Q)
|
88% |
1773
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
3745
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
1446
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
3583
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6475
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1732
13.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
7282
58.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13345
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8872
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19320
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2477
91.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3514
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
1448
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
586
782.8 IPS |
|
|
Text Classification (Q)
|
97% |
470
630.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1883
42.0 IPS |
