Dell Inc. XPS 13 9350
Geekbench AI Score
8099
Single Precision Score
14777
Half Precision Score
5242
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sse |
| Upload Date | December 12 2024 10:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 13 9350 |
| Motherboard | Dell Inc. 03H2N0 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4370
812.6 IPS |
|
|
Image Classification (HP)
|
100% |
5000
929.9 IPS |
|
|
Image Classification (Q)
|
100% |
3627
674.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6877
111.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12701
205.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4799
78.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21816
25.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
101052
117.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18125
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
5444
431.8 IPS |
|
|
Object Detection (HP)
|
100% |
9337
740.6 IPS |
|
|
Object Detection (Q)
|
88% |
4055
325.2 IPS |
|
|
Face Detection (SP)
|
100% |
9459
112.4 IPS |
|
|
Face Detection (HP)
|
100% |
17355
206.2 IPS |
|
|
Face Detection (Q)
|
97% |
6742
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20572
158.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41998
323.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12965
103.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55167
70.9 IPS |
|
|
Style Transfer (HP)
|
100% |
183649
236.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37137
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9307
343.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15491
572.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5920
219.2 IPS |
|
|
Text Classification (SP)
|
100% |
1181
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
1416
1.89 KIPS |
|
|
Text Classification (Q)
|
97% |
619
829.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2885
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2823
48.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1031
19.3 IPS |
