Dell Inc. XPS 14 9440
Geekbench AI Score
2564
Single Precision Score
2589
Half Precision Score
6619
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | August 19 2024 04:22 AM |
| Views | 15 |
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. 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% |
1572
292.3 IPS |
|
|
Image Classification (HP)
|
100% |
1573
292.5 IPS |
|
|
Image Classification (Q)
|
100% |
4380
814.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3968
64.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3785
4.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
3615
4.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
13173
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (Q)
|
88% |
4003
320.9 IPS |
|
|
Face Detection (SP)
|
100% |
4806
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
4809
57.1 IPS |
|
|
Face Detection (Q)
|
100% |
9206
109.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4171
32.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
4245
32.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
9875
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10039
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10162
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35094
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2077
76.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6984
258.7 IPS |
|
|
Text Classification (SP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2773
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1964
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (Q)
|
85% |
2854
49.9 IPS |
