Dell Inc. Precision 5690
Geekbench AI Score
2453
Single Precision Score
1061
Half Precision Score
3153
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 04:54 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% |
1353
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
330
61.5 IPS |
|
|
Image Classification (Q)
|
99% |
2770
516.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2327
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4998
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3372
3.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
17885
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.6 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
88% |
1374
110.2 IPS |
|
|
Face Detection (SP)
|
100% |
3204
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
3192
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5206
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1600
12.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5685
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11760
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8139
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17072
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2124
78.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1499
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2701
100.0 IPS |
|
|
Text Classification (SP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
420
561.2 IPS |
|
|
Text Classification (Q)
|
97% |
446
597.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1384
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (Q)
|
60% |
1644
36.7 IPS |
