Dell Inc. Precision 5690
Geekbench AI Score
3139
Single Precision Score
3091
Half Precision Score
7085
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | bkelly |
| Upload Date | December 03 2025 09:10 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 5690 |
| Motherboard | Dell Inc. 017RV9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1488
276.8 IPS |
|
|
Image Classification (HP)
|
100% |
1508
280.4 IPS |
|
|
Image Classification (Q)
|
100% |
4844
900.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2415
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4788
77.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5160
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
5096
5.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
16843
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (Q)
|
88% |
4613
369.8 IPS |
|
|
Face Detection (SP)
|
100% |
5286
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
5292
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
10364
123.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5038
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5068
39.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10950
85.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13362
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13465
17.3 IPS |
|
|
Style Transfer (Q)
|
98% |
40381
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2183
80.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7079
262.1 IPS |
|
|
Text Classification (SP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1701
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
3254
4.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1877
32.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1676
28.9 IPS |
