Dell Inc. XPS 16 9640
Geekbench AI Score
18237
Single Precision Score
30172
Half Precision Score
14173
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 03:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Entreprise (64-bit) |
| Model | Dell Inc. XPS 16 9640 |
| Motherboard | Dell Inc. 0TPVCM |
| Power Plan | Utilisation normale |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7546
1.40 KIPS |
|
|
Image Classification (HP)
|
99% |
12297
2.29 KIPS |
|
|
Image Classification (Q)
|
100% |
6943
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13484
218.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18157
294.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11526
187.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
84972
99.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
244922
285.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75984
89.0 IPS |
|
|
Object Detection (SP)
|
100% |
8965
711.1 IPS |
|
|
Object Detection (HP)
|
100% |
15142
1.20 KIPS |
|
|
Object Detection (Q)
|
85% |
7829
630.2 IPS |
|
|
Face Detection (SP)
|
100% |
22788
270.8 IPS |
|
|
Face Detection (HP)
|
100% |
36211
430.3 IPS |
|
|
Face Detection (Q)
|
97% |
20076
239.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
42999
331.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
80556
620.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
35260
281.8 IPS |
|
|
Style Transfer (SP)
|
100% |
161453
207.5 IPS |
|
|
Style Transfer (HP)
|
100% |
393124
505.4 IPS |
|
|
Style Transfer (Q)
|
98% |
138649
178.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30199
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46755
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22064
817.0 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
3418
4.56 KIPS |
|
|
Text Classification (Q)
|
97% |
1670
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4121
71.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1900
35.6 IPS |
