Dell Inc. XPS 14 9440
Geekbench AI Score
2618
Single Precision Score
628
Half Precision Score
3485
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 19 2024 04:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 14 9440 |
| Motherboard | Dell Inc. 0H14N3 |
| 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 | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1649
306.6 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.8 IPS |
|
|
Image Classification (Q)
|
99% |
3054
569.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
2113
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4899
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2903
3.39 IPS |
|
|
Pose Estimation (Q)
|
95% |
17553
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1708
135.5 IPS |
|
|
Object Detection (HP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (Q)
|
88% |
1554
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
3405
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
252
2.99 IPS |
|
|
Face Detection (Q)
|
97% |
3374
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5440
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
762
5.87 IPS |
|
|
Depth Estimation (Q)
|
76% |
7588
61.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10690
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7660
9.85 IPS |
|
|
Style Transfer (Q)
|
98% |
18886
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2150
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3474
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
526
702.7 IPS |
|
|
Text Classification (Q)
|
97% |
488
653.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (Q)
|
60% |
1835
40.9 IPS |
