Dell Inc. Precision 5690
Geekbench AI Score
2859
Single Precision Score
1276
Half Precision Score
3820
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 11:39 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% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
99% |
3296
614.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1336
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2702
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5689
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3593
4.19 IPS |
|
|
Pose Estimation (Q)
|
95% |
21468
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (HP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (Q)
|
88% |
1755
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
3465
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
3789
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6320
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1823
14.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7331
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13594
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8994
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19539
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2352
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3748
138.8 IPS |
|
|
Text Classification (SP)
|
100% |
1355
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
579
773.3 IPS |
|
|
Text Classification (Q)
|
97% |
504
675.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1928
43.0 IPS |
